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NEW QUESTION 19
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. Execute the inference logic code
- B. Define the inference server dependencies.
- C. Define the compute scaling strategy.
- D. Configure the deployment infrastructure.
Answer: D
NEW QUESTION 20
The feature type TechJob has the following registered validators: Tech-Job.validator.register(name='is_tech_job', handler=is_tech_job_default_handler) Tech-Job.validator.register(name='is_tech_job', handler= is_tech_job_open_handler, condi-tion=('job_family',)) TechJob.validator.register(name='is_tech_job', handler= is_tech_job_closed_handler, condition=('job_family': 'IT')) When you run is_tech_job(job_family='Engineering'), what does the feature type validator system do?
- A. Throw an error because the system cannot determine which handler to run.
- B. Execute the is_tech_job_closed_handler handler.
- C. Execute the is_tech_job_default_handler sales handler.
- D. Execute the is_tech_job_open_handler handler.
Answer: A
NEW QUESTION 21
You have a complex Python code project that could benefit from using Data Science Jobs as it is a repeatable machine learning model training task. The project contains many subfolder and classes. What is the best way to run this project as a job?
- A. Rewrite your code so that a single executable Python or Bash/Shell script file.
- B. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
- C. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies
- D. ZIP the entire code project folder, upload it as a Job artifact on job creation and set JOB_RUN_ENTRYPOINT to point to the main executable file.
Answer: D
Explanation:
That main top level where the code is run.
NEW QUESTION 22
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_tuning_trails()
- C. Oracle.automl.visualize_algorith_selection_trails()
- D. Oracle.automl.visualize_adaptive_sampling_trails()
Answer: A
NEW QUESTION 23
The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques Which THREE types of modeling techniques are supported by ADS Evaluators?
- A. Regression Analysis
- B. Binary Classification
- C. Principal Component Analysis
- D. K-Means Clustering
- E. Recurrent Neural Network
- F. Multiclass Classification
Answer: A,B,F
NEW QUESTION 24
You are a data scientist leveraging Oracle Cloud Infrastructure (OCI) Data Science to create a model and need some additional python libraries for processing genome sequencing dat a. Which of the following THREE statements are correct with respect to installing additional Python libraries to process the data?
- A. You can install private or custom libraries from your own internal repositories
- B. You cannot install a library that's not preinstalled in the provided image
- C. OCI Data Science allows privileges in notebook sessions.
- D. You can only install libraries using yum and pip as a normal user
- E. You can install any open source package available in a publicly accessible Python Package Index (PyPI) repository
Answer: A,D,E
NEW QUESTION 25
You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?
- A. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
- B. Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.
- C. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
- D. Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application
- E. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
- F. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.
Answer: F
NEW QUESTION 26
What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?
- A. Call the Accented Data Science (ADS) command to enable Al integration
- B. Create and upload execute.py and runtime.yaml
- C. Create and upload the API signing key and config file
- D. Import the REST API
Answer: C
NEW QUESTION 27
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. Package your personal OC file and keys in the job artifact.
- B. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal
- 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 (PAA) for the Object Storage bucket, and use that in the job code.
Answer: C
NEW QUESTION 28
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. odsc conda list --override
- B. odsc conda create --file manifest.yaml
- C. odsc conda init -b <your-bucket-name> -a <api_key or resource_principal>
- D. odsc conda publish --slug <SLUG>
Answer: C,D
NEW QUESTION 29
You want to make your model more parsimonious to reduce the cost of collecting and processing dat a. 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 would be appropriate to display the correlation between Continuous and Categorical features?
- A. Corr{}
- B. Pearson_plot{}
- C. Correlation_ratio_plot{}
- D. Cramersv_plot{}
Answer: C
NEW QUESTION 30
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The OCI Cloud Shell, which can be accessed from the console.
- B. The OCI console.
- C. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- D. The file that was defined for them on the Virtual stachine (VM).
Answer: C
NEW QUESTION 31
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Image classification
- B. Text recognition
- C. Document classification
- D. Key Value extraction
Answer: B
NEW QUESTION 32
You trained a model to predict housing prices for your city. Which two metrics from the Ac-celerated Data Science (ADS) Evaluation class can be used to evaluate the regression model you just trained?
- A. Weighted Precision
- B. Mean Absolute Error
- C. Weighted Recall
- D. F-1 Score
- E. Explained Variance Score
Answer: B,E
NEW QUESTION 33
You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?
- A. Reduce the load balancer bandwidth limit so that fewer requests come in.
- B. Update the deployment to use a larger virtual machine (mare CPUs/memory).
- C. Update the deployment to use fewer instances.
- D. Update the deployment to add more instances.
- E. Delete the deployment.
Answer: D
NEW QUESTION 34
You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your condo environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?
- A. Primary Virtual Network Interface Card (VNIC).
- B. Service Gateway with private subnet access.
- C. NAT Gateway with public internet access.
- D. FastConnect to an on-premises network.
Answer: C
NEW QUESTION 35
You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
- A. The local path to your pySpark script.
- B. The path to the arhive.zip file.
- C. The compartment of the Data Flow application.
- D. The display name of the application.
- E. The bucket used to read/write the pySpark script in Object Storage.
Answer: A,D,E
NEW QUESTION 36
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. 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.
- B. 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 com-pute shape, and capy your flies and data from your temporary bucket onto your 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. 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.
Answer: D
NEW QUESTION 37
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?
- A. The policy for your user group grants manage permissions for the model catalog in this compartment.
- B. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.
- C. The model artifact is saved to the block volume of the notebook session.
- D. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.
- E. The dynamic group's matching rule exists for notebook sessions in this compartment.
Answer: A,D
NEW QUESTION 38
You have an embarrassingly parallel or distributed batch job on a large amount of data running using Data Science Jobs What would be the best approach to run the workload?
- A. Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.
- B. Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.
- C. Reconfigure the job run because Data science jobs does not support embarrassingly parallel.
- D. Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.
Answer: A
NEW QUESTION 39
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
- A. Make sure that your code is using the standard logging library and then store all the logs to Check Storage at the end of the job.
- B. On job creation, enable logging and select a log group. Then, select either log or the op-tion to enable automatic log creation.
- C. You can implement custom logging in your code by using the Data Science Jobs logging.
- D. Data Science Jots does not support automatic fog collection and storing.
Answer: C
NEW QUESTION 40
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified. Which Oracle Cloud service would you use?
- A. OCI Language
- B. OCI Speech
- C. OCI Translation
- D. OCI Anomaly Detection
Answer: B
NEW QUESTION 41
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