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Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions:

1. A company uses Amazon RDS for MySQL as the database for a critical application. The database workload is mostly writes, with a small number of reads.
A data engineer notices that the CPU utilization of the DB instance is very high. The high CPU utilization is slowing down the application. The data engineer must reduce the CPU utilization of the DB Instance.
Which actions should the data engineer take to meet this requirement? (Choose two.)

A) Reboot the RDS DB instance once each week.
B) Upgrade to a larger instance size.
C) Implement caching to reduce the database query load.
D) Modify the database schema to include additional tables and indexes.
E) Use the Performance Insights feature of Amazon RDS to identify queries that have high CPU utilization. Optimize the problematic queries.

2. A banking company uses an application to collect large volumes of transactional data. The company uses Amazon Kinesis Data Streams for real-time analytics. The company ' s application uses the PutRecord action to send data to Kinesis Data Streams.
A data engineer has observed network outages during certain times of day. The data engineer wants to configure exactly-once delivery for the entire processing pipeline.
Which solution will meet this requirement?

A) Design the data source so events are not ingested into Kinesis Data Streams multiple times.
B) Design the application so it can remove duplicates during processing by embedding a unique ID in each record at the source.
C) Update the checkpoint configuration of the Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) data collection application to avoid duplicate processing of events.
D) Stop using Kinesis Data Streams. Use Amazon EMR instead. Use Apache Flink and Apache Spark Streaming in Amazon EMR.

3. A company has a data processing pipeline that includes several dozen steps. The data processing pipeline needs to send alerts in real time when a step fails or succeeds. The data processing pipeline uses a combination of Amazon S3 buckets, AWS Lambda functions, and AWS Step Functions state machines.
A data engineer needs to create a solution to monitor the entire pipeline.
Which solution will meet these requirements?

A) Configure an Amazon EventBridge rule to react when the execution status of a state machine changes.Configure the rule to send a message to an Amazon Simple Notification Service (Amazon SNS) topic that sends notifications.
B) Configure the AWS Lambda functions to store notifications in an Amazon S3 bucket when the state machines finish running. Enable S3 event notifications on the S3 bucket.
C) Configure the Step Functions state machines to store notifications in an Amazon S3 bucket when the state machines finish running. Enable S3 event notifications on the S3 bucket.
D) Use AWS CloudTrail to send a message to an Amazon Simple Notification Service (Amazon SNS) topic that sends notifications when a state machine fails to run or succeeds to run.

4. A data engineer is building a solution to detect sensitive information that is stored in a data lake across multiple Amazon S3 buckets. The solution must detect personally identifiable information (PII) that is in a proprietary data format.
Which solution will meet these requirements with the LEAST operational overhead?

A) Use an AWS Lambda function with custom regular expressions.
B) Use Amazon Macie with managed data identifiers.
C) Use the AWS Glue Detect PII transform with specific patterns.
D) Use Amazon Athena with a SQL query to match the custom formats.

5. A company runs a data pipeline that uses AWS Step Functions to orchestrate AWS Lambda functions and AWS Glue jobs. The Lambda functions and AWS Glue jobs require access to multiple Amazon RDS databases. The Lambda functions and AWS Glue jobs already have access to the VPC that hosts the RDS databases.
Which solution will meet these requirements in the MOST secure way?

A) Create an IAM role that has permissions to access the RDS databases. Create a second IAM role for the Lambda functions and AWS Glue jobs that has permissions to assume the IAM role that has access permissions for the RDS databases.
B) Create an IAM user that can assume IAM roles that have permissions and credentials to access the RDS databases. Assign the IAM user to each of the Lambda functions and AWS Glue jobs.
C) Create Java Database Connectivity (JDBC) connections between the Lambda functions and AWS Glue jobs and the RDS databases. In the connection string, include the necessary credentials.
D) Use the root user of the company's AWS account to create long-term access keys for the RDS databases. Include the access keys programmatically in the Lambda functions and AWS Glue jobs.
Generate new keys every 90 days.

Solutions: