Pass 070-768 Exam - Real Test Engine PDF with 70 Questions
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Microsoft 70-768 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Design a multidimensional business intelligence (BI) semantic model (25–30%) | |
| Create a multidimensional database by using Microsoft SQL Server Analysis Services (SSAS) | -Design, develop, and create multidimensional databases; select a storage model |
| Design and implement dimensions in a cube | -Select an appropriate dimension model, such as fact, parent-child, roleplaying, reference, data mining, many-to-many, and slowly changing dimension; implement a dimension type; define attribute relationships |
| Implement measures and measure groups in a cube | -Design and implement measures, measure groups, granularity, calculated measures, and aggregate functions; define semi-additive behavior |
Design a tabular BI semantic model (20–25%) | |
| Design and publish a tabular data model | -Design measures, relationships, hierarchies, partitions, perspectives, and calculated columns; create a time table; publish from Microsoft Visual Studio; import from Microsoft PowerPivot; select a deployment option, including Processing Option, Transactional Deployment, and Query Mode |
| Configure, manage, and secure a tabular model | -Configure tabular model storage and data refresh, configure refresh interval settings, configure user security and permissions, configure row-level security |
| Develop a tabular model to access data in near real time | -Use DirectQuery with Oracle, Teradata, Excel, and PivotTables; convert in-memory queries to DirectQuery |
Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) (15–20%) | |
| Create basic MDX queries | -Implement basic MDX structures and functions, including tuples, sets, and TopCount |
| Implement custom MDX solutions | -Create custom MDX or logical solutions for pre-prepared case tasks or business rules, define a SCOPE statement |
| Create formulas by using the DAX language | -Use the EVALUATE and CALCULATE functions, filter DAX queries, create calculated measures, perform data analysis by using DAX |
Configure and maintain SQL Server Analysis Services (SSAS) (30–35%) | |
| Plan and deploy SSAS | -Configure memory limits, configure Non-Union Memory Architecture (NUMA), configure disk layout, determine SSAS instance placement |
| Monitor and optimize performance | -Monitor performance and analyze query plans by using Extended Events and Profiler, identify bottlenecks in SSAS queries, monitor processing and query performance, resolve performance issues, configure usability limits, optimize and manage model design |
| Configure and manage processing | -Configure partition processing; configure dimension processing; use Process Default, Process Full, Process Clear, Process Data, Process Add, Process Update, Process Index, Process Structure, and Process Clear Structure processing methods; configure Parallel, Sequential, and Writeback processing settings |
| Create Key Performance Indicators (KPIs) and translations | -Configure KPI options, including Associated measure group, Value Expression, Goal Expression, Status, Status expression, Trend, Trend expression, and Weight; create KPIs in multidimensional models and tabular models; create and develop translations |
NEW QUESTION 39
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
A company has an e-commerce website. When a customer places an order, information about the transaction is inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server Analysis Services (SSAS) instance that is configured to use Tabular mode.
SSAS uses data from OLTP1 to populate a data model.
Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available in the relational database.
You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near real-time data source access.
Solution: In the Deployment Option property for the report, you set the Query Mode to DirectQuery with InMemory.
Does the solution meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
With DirectQuerywithInMemory mode the queries use the relational data source by default, unless otherwise specified in the connection string from the client.
References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
NEW QUESTION 40
HOTSPOT
You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional project. You are developing a dimension that uses data from the following table:
The ManagerKey column defines a foreign key constraint that references the EmployeeKey column. The table stores employee history information by using slowly changing dimensions (SCD). Changes to EmployeeName, Phone, or ManagerKey are managed as SCD Type 1 changes. Changes to SalesRegion are managed as SCD Type 2 changes.
You create the following attributes, and set the KeyColumns and NameColumn properties to the columns listed in the table below:
You need to add a parent-child hierarchy to the dimension to enable navigating the organization hierarchy.
In the table below, identify the attribute that you must use for each attribute usage type.
NOTE: Make only one selection in each column.
Answer:
Explanation:
Explanation:
The ManagerKey column, the Manager attribute, defines a foreign key constraint that references the EmployeeKey column, the Employee attribute.
NEW QUESTION 41
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:
Users need to be able to analyze sales by color.
You need to create a dimension that contains all of the colors for products sold by the company.
Which relationship type should you use between the InternetSales table and the new dimension?
- A. regular
- B. referenced
- C. data mining
- D. many-to-many
- E. fact
- F. no relationship
Answer: A
Explanation:
Explanation/Reference:
Explanation:
A regular dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined directly to the fact table.
References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical- cube-objects/dimension-relationships
NEW QUESTION 42
DRAG DROP
You need to configure the CoffeeSale fact table environment.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
Step 1: Partition the CoffeSale facto table.
Step 2: Set the storage mode for all partitions to HOLAP.
Partitions stored as HOLAP are smaller than the equivalent MOLAP partitions because they do not contain source data and respond faster than ROLAP partitions for queries involving summary data.
Step 3: Alter the processing job to ensure that it rearranges the partition structure each evening.
Step 4: Test that the cube meets the functional requirement for data currency and query performance.
From scenario:
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes.
The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models-olap-logical-cube-objects/partitions-partition-storage-modes-and-processing
NEW QUESTION 43
How can you enhance the model to support analysis by date?
- A. Create a calculated table using the CALENDARAUTO function and add calculated columns to the calculated table to derive year, quarter, and month from the InvoiceDate columns.
- B. Create a calculated column in the Internet Sales and Direct Sales tables using the CALENDAR function on the InvoiceDate column.
- C. Create calculated columns in the Internet Sales and Direct Sales tables to derive year, quarter, and month from the InvoiceDate columns.
- D. Create a date table in a new SQL Server database, and import it into the model by using the Table Import Wizard.
Answer: D
NEW QUESTION 44
DRAG DROP
You are a business analyst for a retail company that uses a Microsoft SQL Server Analysis
Services (SSAS) multidimensional database to track sales. The database contains the following objects:
Your company is developing a promotional plaque to recognize the top resellers in the top
1 0 cities where the company does business. Each plaque must display the sales total for all resellers in the city. In addition, the plaque must display a total for all cities not in the top
1 0.
You have the following requirements:
You need to provide the information needed for the promotional plaques.
How should you complete the MDX statement? To answer, drag the appropriate MDX segments to the correct locations. Each MDX segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1:DYNAMIC SET
Box 2:MEMBER
Box 3:DYNAMIC SET
Box 4:[Geography].[City].[City].members
Box 5:[Measures].[Reseller Sales Amount]
References: https://docs.microsoft.com/en-us/sql/mdx/aggregate-mdx
NEW QUESTION 45
======================================
Topic 1, Wide World Importers
Background
Wide World Importers imports and sells clothing. The company has a multidimensional
Microsoft SQL Server Analysis Services instance. The server has 80 gigabytes (GB) of available physical memory. The following installed services are running on the server:
*SQL Server Database Engine
* SQL Server Analysis Services (multidimensional)
The database engine instance has been configured for a hard cap of 50 GB, and it cannot be lowered. The instance contains the following cubes: SalesAnalysis, OrderAnalysis.
Reports that are generated based on data from the OrderAnalysis cube take more time to complete when they are generated in the afternoon each day. You examine the server and observe that it is under significant memory pressure.
Processing for all cubes must occur automatically in increments. You create one job to process the cubes and another job to process the dimensions. You must configure a processing task for each job that optimizes performance. As the cubes grown in size, the overnight processing of the cubes often do not complete during the allowed maintenance time window.
SalesAnalysis
The SalesAnalysis cube is currently being tested before being used in production. Users report that day name attribute values are sorted alphabetically. Day name attribute values must be sorted chronologically. Users report that they are unable to query the cube while any cube processing operations are in progress. You need to maximize data availability during cube processing and ensure that you process both dimensions and measures.
OrderAnalysis
The OrderAnalysis cube is used for reporting and ad-hoc queries from Microsoft Excel. The data warehouse team adds a new table named Fact.Transaction to the cube. The
Fact.Transaction table includes a column named Total Including Tax. You must add a new measure named Transactions - Total Including Tax to the cube. The measure must be calculated as the sum of the Total Including Tax column across any selected relevant dimensions.
Finance
The Finance cube is used to analyze General Ledger entries for the company.
Requirements
*You must minimize the time that it takes to process cubes while meeting the following requirements:
*The Sales cube requires overnight processing of dimensions, cubes, measure groups, and partitions.
*The OrderAnalysis cube requires overnight processing of dimensions only.
*The Finance cube requires overnight processing of dimensions only.
======================================
DRAG DROP
You need to resolve the issues that the users report.
Which processing options should you use? To answer, drag the appropriate processing option to the correct location or locations. Each processing option may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Explanation:
Box1: Process Full:
When Process Full is executed against an object that has already been processed,
Analysis Services drops all data in the object, and then processes the object. This kind of processing is required when a structural change has been made to an object, for example, when an attribute hierarchy is added, deleted, or renamed.
Box 2: Process Default
Detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the affected object.
Box 3:
Not Process Update: Forces a re-read of data and an update of dimension attributes.
Flexible aggregations and indexes on related partitions will be dropped.
NEW QUESTION 46
Drag and Drop Question
A database named DB2 uses the InMemory query mode. Users frequently run the following query:
You need to reconfigure the SSAS instance that hosts DB1.
Which three actions should perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Set the default mode for the data model to DirectQuery. You discover that the project has been deployed with the Direct Query Mode option set to OFF.
Step 2: Set the mode for the FactInternetSales table's partition to DirectQueryOnly. Initially, even DirectQuery models are always created in memory. The default query mode for the workspace database is also set toDirectQuery with In-Memory. This hybrid working mode lets you use the cache of imported data for improved performance during the model design process, while validating the model against DirectQuery requirements.
From Scenario: Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.
Step 3: Run Process Full for the FactInternetSales partition. When Process Full is executed against an object that has already been processed, Analysis Services drops all data in the object, and then processes the object. This kind of processing is required when a structural change has been made to an object, for example, when an attribute hierarchy is added, deleted, or renamed
NEW QUESTION 47
What property do you set to hide the phone number attribute in the customer dimension from slicing and dicing operations, but allows it to be included in the dimension as a member property?
- A. AttributeHierarchyEnabled
- B. IsAggregatable
- C. AttributeHierarchyVisible
- D. AttributeHierarchyOrdered
Answer: A
NEW QUESTION 48
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:
You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status.
The KPI must contain:
You need to create the KPI.
Solution: You set the value of the Status expression to:
Does the solution meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION 49
HOTSPOT
Case Study #3
This is a case study. Case studies are not limited separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Background
You are a developer for a Seattle-based company. The company is expanding globally. Many company employees speak fluent Mandarin and read Simplified Chinese.
You have six tabular data models that are deployed to two instances of Microsoft SQL Server Analysis Services (SSAS).
Users report that the query takes a long time to complete.
You are planning the disk space allocations for a new Microsoft SQL Server Analysis Services deployment.
You plan to move several relational data file databases to the new SSAS instance. The databases require a total of 10 GB of disk space.
You also plan to deploy Cubes and Aggregations and use Object Processing. Cubes will have small fact tables and few dimension members. No unnecessary aggregations will be created. You plan to process an entire cube in a single transaction.
Data Models
One of the data models is named CustomerSales. This data model contains eight tables. The model includes a table named Sales that defines several measures, including a measure named PriorYearSales.
The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users. You must translate the metadata for all fata the CustomerSales data model to Simplifies Chinese. Team members from the Shanghai office assist with identifying appropriate translations.
A data model named OrderAnalysis is deployed to one of the SSAS instances. Order data is loaded into the OrderAnalysis data as part of an overnight process. You observe that the model is not up-to-date.
The business analysis team uses a variety of client applications to issue MDX queries against OrderAnalysis. Order data must be completely up-to-date.
The OrderAnalysis model has two user-defined hierarchies that are defined in a table named Order. New customers are only added once per day. The overnight process is sufficiently up-to-date for the Customer data to provide optimal performance while achieving the data currency goals whenever possible.
Databases
You deploy a database named DB1 to an SSAS instance as a project by using SQL Server Data Tools.
Data analysts report that they cannot access near real time data from the SSAS SalesAnalysis model from DB1. You discover that the project has been deployed with the Direct Query Mode option set to OFF.
Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is
20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.
A database named DB2 uses the InMemory query mode. Users frequently run the following query:
You need to configure SQL Server Profiler to determine why the query is performing poorly.
Which three event should you monitor on the SQL Server Profiler trace events configuration page? To answer, select the appropriate options in the answer area.
Hot Area:
Answer:
Explanation:
Explanation/Reference:
By using SQL Profiler, you can intercept two classes of trace events from Analysis Services, DAX Query Plan and DirectQuery events, both generated by the DirectQuery engine. Here, in this scenario we have a DAX Query.
DAX Query Plan events are generated by the DAX formula.
By using the In-Memory mode, you store a copy of data in the xVelocity (VertiPaq) storage engine.
Figure: This is how a query is executed by using In-Memory mode.
References: Microsoft SQL Server 2012 Analysis Services, The BISM Tabular Model, Microsoft Press (July 2012), page 331 From Scenario: Users report that the query takes a long time to complete.
NEW QUESTION 50
You are developing a SQL Server Analysis Services (SSAS) tabular project.
The model includes a table named Sales.
The Sales table includes a single date column.
The Sales table must meet the following requirements:
- Queries must be able to return all rows.
- Must be able to support four different processing schedules for
different date ranges.
- Date ranges must not include any overlapping data.
You need to implement a solution that meets the requirements.What should you do?
- A. Create four partitions for the Sales table. Create four roles. Use the same row filter queries for each role and partition.
- B. Create four partitions for the Sales table. Use row filter queries for each partition.
- C. Convert the Sales table into four smaller tables by using row filter queries. Use one perspective for each of the four tables.
- D. Convert the Sales table into four smaller tables by using row filter queries. Use one perspective for all four tables.
Answer: B
NEW QUESTION 51
Hotspot Question
You are deploying a multidimensional Microsoft SQL Server Analysis Services (SSAS) project.
You add two new role-playing dimensions named Picker and Salesperson to the cube.
Both of the cube dimensions are based upon the underlying dimension named Employee in the data source view.
Users report that they are unable to differentiate the Salesperson attributes from the Picker attributes.
You need to ensure that the Salesperson and Picker attributes in each dimension use unique names.
In the table below, identify an option that you would use as part of the process to alter the names of the attributes for each of the dimensions. NOTE: Make only one selection in each column.
Answer:
Explanation:
Explanation:
A named query is a SQL expression represented as a table. In a named query, you can specify an SQL expression to select rows and columns returned from one or more tables in one or more data sources. A named query is like any other table in a data source view (DSV) with rows and relationships, except that the named query is based on an expression. A named query lets you extend the relational schema of existing tables in DSV without modifying the underlying data source.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/define-named- queries-in-a-data-source-view-analysis-services
NEW QUESTION 52
You are building a Microsoft SQL Server Analysis Services multidimensional model over a SQL Server database. In a cube named OrderAnalysis, there is a standard cube dimension named Stock Item.
This dimension has the following attributes:
Users report that the attributes Stock Item Key and Photo are distracting and are not providing any value. They have asked for the attributes to be removed. However, these attributes are needed by other cubes.
You need to hide the specified attributes from the end users of the OrderAnalysis cube.
You do not want to change the structure of the dimension.
Which change should you make to the properties for the Stock Item Key and Photo attributes?
- A. Set the Usage property to Regular.
- B. Set the AttributeHierarchyEnabledproperty to False.
- C. Set the AttributeHierarchyVisible property to False.
- D. Set the AttributeVisibility property to Hidden.
- E. Set the AttributeHierarchyDisplayFolder property to Hidden.
Answer: C
Explanation:
The value of the AttributeHierarchyEnabled property determines whether an attribute hierarchy is created. If this property is set to False, the attribute hierarchy is not created and the attribute cannot be used as a level in a user hierarchy; the attribute hierarchy exists as a member property only. However, a disabled attribute hierarchy can still be used to order the members of another attribute. If the value of the AttributeHierarchyEnabled property is set to True, the value of the AttributeHierarchyVisible property determines whether the attribute hierarchy is visible independent of its use in a user-defined hierarchy.
References:https://technet.microsoft.com/en-us/library/ms166717(v=sql.110).aspx
NEW QUESTION 53
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:
You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:
You need to create the KPI.
Solution: You set the value of the Status expression to:
Does the solution meet the goal?
- A. No
- B. Yes
Answer: B
NEW QUESTION 54
Drag and Drop Question
You need to configure the CoffeeSale fact table environment.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
Step 1: Partition the CoffeSale facto table.
Step 2: Set the storage mode for all partitions to HOLAP. Partitions stored as HOLAP are smaller than the equivalent MOLAP partitions because they do not contain source data and respond faster than ROLAP partitions for queries involving summary data.
Step 3: Alter the processing job to ensure that it rearranges the partition structure each evening.
Step 4: Test that the cube meets the functional requirement for data currency and query performance.
From scenario:
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes.
The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical- cube-objects/partitions-partition-storage-modes-and-processing
NEW QUESTION 55
You are developing a SQL Server Analysis Services (SSAS) tabular database.
To maximize performance, queries must be resolved only by using cache.
You need to configure the appropriate query mode.
Which query mode should you select?
- A. DirectQuery
- B. In-Memory with DirectQuery
- C. In-Memory
- D. DirectQuery with In-Memory
Answer: C
NEW QUESTION 56
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have an existing multidimensional cube that provides sales analysis. The users can slice by date, product, location, customer, and employee.
The management team plans to evaluate sales employee performance relative to sales targets. You identify the following metrics for employees:
You need to implement the KPI based on the Status expression.
Solution: You design the following solution:
Does the solution meet the goal?
- A. No
- B. Yes
Answer: B
NEW QUESTION 57
Drag and Drop Question
You need to create the cube processing job and the dimension processing job.
Which processing task should you use for each job? To answer, drag the appropriate processing tasks to the correct locations. Each processing task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Explanation:
Box 1: ProcessData
Processes data only without building aggregations or indexes. If there is data is in the partitions, it will be dropped before re-populating the partition with source data.
Box 2: Process Update
Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/processing- options-and-settings-analysis-services
Topic 3, Background
You are a developer for a Seattle-based company. The company is expanding globally. Many company employees speak fluent Mandarin and read Simplified Chinese.
You have six tabular data models that are deployed to two instances of Microsoft SQL Server Analysis Services (SSAS).
Users report that the query takes a long time to complete.
You are planning the disk space allocations for a new Microsoft SQL Server Analysis Services deployment. You plan to move several relational data file databases to the new SSAS instance.
The databases require a total of 10 GB of disk space.
You also plan to deploy Cubes and Aggregations and use Object Processing. Cubes will have small fact tables and few dimension members. No unnecessary aggregations will be created. You plan to process an entire cube in a single transaction.
Data Models
One of the data models is named CustomerSales. This data model contains eight tables. The model includes a table named Sales that defines several measures, including a measure named PriorYearSales. The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users. You must translate the metadata for all fata the CustomerSales data model to Simplifies Chinese. Team members from the Shanghai office assist with identifying appropriate translations.
A data model named OrderAnalysis is deployed to one of the SSAS instances. Order data is loaded into the OrderAnalysis data as part of an overnight process. You observe that the model is not up-to-date.
The business analysis team uses a variety of client applications to issue MDX queries against OrderAnalysis. Order data must be completely up-to-date.
The OrderAnalysis model has two user-defined hierarchies that are defined in a table named Order. New customers are only added once per day. The overnight process is sufficiently up-to- date for the Customer data to provide optimal performance while achieving the data currency goals whenever possible.
Databases
You deploy a database named DB1 to an SSAS instance as a project by using SQL Server Data Tools. Data analysts report that they cannot access near real time data from the SSAS SalesAnalysis model from DB1. You discover that the project has been deployed with the Direct Query Mode option set to OFF.
Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.
NEW QUESTION 58
What type of partitioning strategy should you implement to support the analysis of hourly Internet sales transactions?
- A. Create one partition per day dynamically by running an SSIS package daily to build the new partition. Load the data for the current day by performing a Process Full operation on the partition.
- B. Set the model to DirectQuery With In-Memory Mode. Define a sample partition for the Internet Sales table to view data during development.
- C. Convert the model to DirectQuery. Add columnstore indexes to the source tables. In the model, define a sample partition for all tables to view data during development.
- D. Create one partition per hour per day dynamically by running an SSIS package each hour to build the new partition. Load the data for the current hour by performing a Process Add, and then execute a Process Recalc on the partition
Answer: C
NEW QUESTION 59
You use Microsoft SQL Server Profile to evaluate a query named Query.
The Profiler report indicates the following issues:
- At each level of the query plan, a low total number of rows are
processed.
- The query uses many operations.
This results in a high overall cost for the query.
You need to identify the information that will be useful for the optimizer.
What should you do?
- A. Create one Extended Events session with the sqlserver.missing_column_statistics eventadded.
- B. Create one Extended Events session with the sqlserver.missing_join_predicate event added.
- C. Start a SQL Server Profiler trace for the event class Auto Stats in the Performance event category.
- D. Start a SQL Server Profiler trace for the event class Soft Warnings in the Errors and Warnings event category.
Answer: B
NEW QUESTION 60
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
A company has an e-commerce website. When a customer places an order, information about the transaction is inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server Analysis Services (SSAS) instance that is configured to use Tabular mode. SSAS uses data from OLTP1 to populate a data model.
Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available in the relational database.
You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near real-time data source access.
Solution: In the Deployment Option property for the report, you set the Query Mode to InMemory with DirectQuery.
Does the solution meet the goal?
- A. No
- B. Yes
Answer: A
Explanation:
With In Memory with DirectQuery: Queries use the cache by default, unless otherwise specified in the connection string from the client.
https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
NEW QUESTION 61
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:
Users need to be able to analyze sales by product and color.
You need to create the dimension.
Which relationship type should you use between the InternetSales table and the new dimension?
- A. regular
- B. data mining
- C. many-to-many
- D. fact
- E. no relationship
- F. referenced
Answer: F
Explanation:
A reference dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined indirectly to the fact table through a key in another dimension table, as shown in the following illustration.
A reference dimension relationship represents the relationship between dimension tables and a fact table in a snowflake schema design. When dimension tables are connected in a snowflake schema, you can define a single dimension using columns from multiple tables, or you can define separate dimensions based on the separate dimension tables and then define a link between them using the reference dimension relationship setting. The following figure shows one fact table named InternetSales, and two dimension tables called
Customer and Geography, in a snowflake schema.
You can create two dimensions related to the InternetSales measure group: a dimension based on the Customer table, and a dimension based on the Geography table. You can then relate the Geography dimension to the InternetSales measure group using a reference dimension relationship using the Customer dimension.
NEW QUESTION 62
You are developing a SQL Server Reporting Services (SSRS) report that renders in HTML.
The report includes a dataset with fields named Description, Price, and Color.
The report layout includes a table that displays product details and also includes columns named Description, Price, and Color.
You need to modify the report so that users can sort products by the Price column.
What should you do?
- A. Set the SortExpression property to =Fields!Price.Name for the Price text box.
- B. Set the SortExpression property to =Fields!Price.Value for the Price text box.
- C. Add a custom action to the Price text box.
- D. In the Interactive Sorting page of the Price text box properties, select the Enable interactive sorting on this text box check box, and then select the Price field for the Sort by property.
- E. Add a group for the Price field.
Answer: B,D
NEW QUESTION 63
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