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Oracle 1z0-1110-22 Exam Syllabus Topics:

Topic	Details
Topic 1	Monitor & Log using MLOps Practices Use OCI AI Services for ML Solutions
Topic 2	Configure and manage source code in Code Repositories (Git) Configure your tenancy for OCI Data Science
Topic 3	Create and Export a Dataset using OCI Data Labeling Discuss general MLOps Architecture in OCI
Topic 4	Create and manage Projects and Notebook sessions Discuss OCI Data Science Overview & Concepts
Topic 5	Create and Use automated ML capability from Oracle AutoML Configure your tenancy for Data Science
Topic 6	Create and Manage Spark Applications using Data Flow and OCI Data Science Create and manage Conda environments

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Oracle Cloud Infrastructure Data Science 2022 Professional Sample Questions (Q54-Q59):

NEW QUESTION # 54
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. ZIP the entire code project folder and upload it as a Job artifact on job creation, Jobs identities the main executable file automatically.
• B. Rewrite your code so that a single executable Python or Bash/Shell script file.
• C. ZIP the entire code project folder, upload it as a Job artifact on job creation and set JOBRUNENTRYPOINT to point to the main executable file.
• D. ZIP the entire code project folder and upload it as a Job artifact Jobs automatically identifies

Answer: C Explanation:
That main top level where the code is run.
NEW QUESTION # 55
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. DataFramLabelEncode()
• B. showinnotebook()
• C. auto_transform()
• D. OneHotEncoder()

Answer: A
NEW QUESTION # 56
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. Package your personal OC 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. Store your personal OCI config file and kays in the Vault, and access the Vault through the job nun resource principal

Answer: C
NEW QUESTION # 57
You are a data scientist working for a utilities company. You have developed an algorith 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 would you use to save the model artifact into the model catalog?

• A. OCI Python SDK
• B. Accelerated Data Science (ADS) Software Development Kit (SDK)
• C. Git CLI
• D. ODSC CLI
• E. Console
• F. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)

Answer: A,B,E
NEW QUESTION # 58
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

• A. Punctuation correction
• B. Sentiment analysis
• C. Topic classification
• D. Sentence diagramming
• E. Table extraction

Answer: C
NEW QUESTION # 59
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