1z0-1110-23 Exam Brain Dumps - Study Notes and Theory [Jul-2024]
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NEW QUESTION # 37
As a data scientist, you create models for cancer prediction based on mammographic images.
The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix.
Model 1 has Test accuracy is 80% and recall is 70%.
* Model 2 has Test accuracy is 75% and recall is 85%.
Which model would you prefer and why?
- A. Model 1, because the test accuracy is high.
- B. Model 2, because recall has more impact on predictions in this use se.
- C. Model 1, because recall has lesser impact on predictions in this use case
- D. Model 2, because recall is high.
Answer: B
NEW QUESTION # 38
During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?
- A. Your code using too much disk space. Refactor the code to identify the problem.
- B. On the job run, set the environment variable that helps increase the size of the storage.
- C. Create a new job with increased storage size and then run the job.
- D. Edit the job, change the size of the storage of your job, and start a new job run.
Answer: D
NEW QUESTION # 39
You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a time stamp. What part of the Data Science life cycle would you be in when creating the new variable?
- A. Model type selection
- B. Feature engineering
- C. Model validation
- D. Data access
Answer: C
NEW QUESTION # 40
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
- A. Create a pre-authenticated request (PAA) for the Object Storage bucket, and use that in the job code.
- B. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
- C. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- D. Package your personal OC file and keys in the job artifact.
Answer: B
NEW QUESTION # 41
As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?
- A. OneHotEncoder()
- B. show_in_notebook()
- C. DataFramLabelEncode()
- D. auto_transform()
Answer: C
NEW QUESTION # 42
You want to make your model more frugal to reduce the cost of collecting and processing data.
You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove.
Which Accelerated Data Science (ADS) SDK method is appropriate to display the comparability between Continuous and Categorical features?
- A. correlation_ratio_plot()
- B. corr()
- C. cramersv_plot()
- D. pearson_plot()
Answer: A
NEW QUESTION # 43
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage bucket, train a model, and save it to the model catalog.
How would you design the authentication mechanism for the job?
- A. Store your personal OCI config file and keys in the Vault and access the Vault through the job run resource principal.
- B. Package your personal OCI config file and keys in the job artifact
- C. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog.
- D. Create a pre-authenticated request (PAR) for the Object Storage bucket, and use that in the job code.
Answer: C
NEW QUESTION # 44
After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with an exploratory data analysis.
From which two places can you access or install the ADS SDK?
- A. Oracle Machine Learning (OML)
- B. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
- C. Python Package Index (PyPI
- D. Oracle Big Data Service
- E. Oracle Autonomous Data Warehouse
Answer: B,C
NEW QUESTION # 45
When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?
- A. Configure the deployment infrastructure.
- B. Define the compute scaling strategy.
- C. Execute the inference logic code
- D. Define the inference server dependencies.
Answer: A
NEW QUESTION # 46
As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?
- A. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.
- B. Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.
- C. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
- D. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger compute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
Answer: A
NEW QUESTION # 47
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations () tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
- A. get_transformed_dataset ()
- B. visualize_transforms ()
- C. auto_transform()
- D. fit_transform()
Answer: C
NEW QUESTION # 48
You have received machine learning model training code, without clear information about the optimal shape to run the training. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?
- A. Start with a smaller shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and re-run the job. Repeat the process until the processing time does not improve.
- B. Start with a smaller shape and monitor the Job Run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and re- run the job. Repeat the process until the shape resources are fully utilized.
- C. Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimizations and performance tests in advance to identify the right compute shape before running the model training as a job.
- D. Start with the strongest compute shape Job's support and monitor the Job Run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.
Answer: A
NEW QUESTION # 49
As a data scientist, you are trying to automate a machine learning (ML) workflow and have decided to use Oracle Cloud Infrastructure (OCI) AutoML Pipeline.
Which three are part of the AutoML Pipeline?
- A. Feature Extraction
- B. Feature Selection
- C. Model Deployment
- D. Algorithm Selection
- E. Adaptive Sampling
Answer: B,C,E
NEW QUESTION # 50
You are a data scientist working for a utilities company. You have developed an algorithm that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which three interfaces could you use to save the model artifact into the model catalog?
- A. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- B. Console
- C. OCI Python SDK
- D. Git CLI
- E. ODSC CLI
- F. Accelerated Data Science (ADS) Software Development Kit (SDK)
Answer: A,C,F
NEW QUESTION # 51
The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?
- A. Oracle.automl.print_trials()
- B. Oracle.automl.visualize_adaptive_sampling_trails()
- C. Oracle.automl.visualize_tuning_trails()
- D. Oracle.automl.visualize_algorith_selection_trails()
Answer: A
NEW QUESTION # 52
While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?
- A. suggest_recommendations()
- B. sample ()
- C. visualize_transforms ()
- D. auto_transform()
Answer: B
NEW QUESTION # 53
Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to data sets from reference libraries and index websites such as scikit-learn?
- A. DataLabeling
- B. DatasetBrowser
- C. SecretKeeper
- D. ADSTuner
Answer: B
NEW QUESTION # 54
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?
- A. Semantic Segmentation
- B. Object Detection
- C. Polygonal Segmentation
- D. Classification (single/multi label)
- E. Key-Point and Landmark
- F. Named Entity Extraction
Answer: B,D,F
NEW QUESTION # 55
You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?
- A. Command Line Interface (CLI)
- B. OCI Console
- C. Mobile App
- D. Programming Language Software Development Kit (SDK)
Answer: D
NEW QUESTION # 56
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket.
Which two commands are required to publish the conda environment?
- A. conda activate /home/datascience/conda/<SLUG>
- B. odsc conda create --file manifest.yaml
- C. odsc conda list --override
- D. odac conda publish --slug <SLUG>
- E. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
Answer: D,E
NEW QUESTION # 57
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