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| Section | Weight | Objectives |
|---|---|---|
| OCI Data Science Service | 30% | - Model catalog
|
| MLOps and OCI Integration | 20% | - Automation and pipelines
|
| Machine Learning Fundamentals | 20% | - Supervised learning
|
| Model Development and Deployment | 30% | - Model training
|
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NEW QUESTION # 23
You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as assess the quality of the model class that you are using. What is the most appropriate search space strategy to choose?
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Select an ADSTuner strategy to minimize cost and assess model quality.
Understand ADSTuner: Optimizes hyperparameters with configurable search spaces.
Evaluate Options:
A: Detailed—Exhaustive, high cost—incorrect.
B: No search space—False; tuning requires a space.
C: Perfunctory—Quick, low-cost assessment—correct.
D: Dictionary—Defines space but not a strategy.
Reasoning: Perfunctory balances cost and initial quality check.
Conclusion: C is correct.
OCI documentation states: “ADSTuner’s perfunctory strategy (C) performs a quick, low-cost search to assess model quality, ideal for initial tuning.” Detailed (A) is costly, B misstates requirements, and D is a method, not a strategy—only C fits the goal.
1: Oracle Cloud Infrastructure ADS SDK Documentation, "ADSTuner Search Strategies".
NEW QUESTION # 24
You want to create a user group for a team of external data science consultants. The consultants should only have the ability to see Data Science resource details but not have the ability to create, delete, or update Data Science resources. What verb should you write in the policy?
Answer: C
Explanation:
Detailed Answer in Step-by-Step Solution:
Understand OCI IAM Policies: Policies control access using verbs like “inspect,” “read,” “use,” and “manage.” Define Requirement: Consultants need view-only access without modification rights.
Evaluate Verbs:
A . Use: Allows interaction (e.g., running jobs)—too permissive.
B . Inspect: Grants view-only access to resource details—matches requirement.
C . Manage: Full control (create, update, delete)—too permissive.
D . Read: Includes viewing content (e.g., data), not just metadata—slightly broader than needed.
Conclusion: “Inspect” (B) is the precise verb for view-only access to resource details.
In OCI Identity and Access Management (IAM), the “inspect” verb allows listing and viewing resource metadata without granting modification or data access rights, ideal for this scenario. This is confirmed in the IAM policy reference. (Oracle Cloud Infrastructure Documentation, "IAM Policy Verbs").
NEW QUESTION # 25
Which Oracle Data Safe feature minimizes the amount of personal data and allows internal test, development, and analytics teams to operate with reduced risk?
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify the Data Safe feature that reduces personal data exposure.
Understand Data Safe: Secures sensitive data in OCI databases.
Evaluate Options:
A: Encryption—Protects data, doesn’t minimize it.
B: Assessment—Identifies risks, doesn’t alter data.
C: Masking—Obfuscates personal data (e.g., SSNs)—correct.
D: Discovery—Locates sensitive data, doesn’t reduce it.
E: Auditing—Tracks access, doesn’t minimize data.
Reasoning: Masking replaces sensitive data, reducing risk for teams—fits goal.
Conclusion: C is correct.
OCI documentation states: “Data masking (C) in Data Safe transforms sensitive data into anonymized versions, minimizing exposure for test, dev, and analytics use.” A protects, B assesses, D finds, E audits—only C reduces data per OCI’s Data Safe features.
1: Oracle Cloud Infrastructure Data Safe Documentation, "Data Masking Overview".
NEW QUESTION # 26
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?
Answer: D,E
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify two OCI Language AI capabilities.
Understand OCI Language: Focuses on text analysis tasks.
Evaluate Options:
A: Table extraction—Vision, not Language—incorrect.
B: Punctuation correction—Not offered—incorrect.
C: Sentence diagramming—Not supported—incorrect.
D: Topic classification—Supported (custom/pretrained)—correct.
E: Sentiment analysis—Supported (pretrained)—correct.
Reasoning: D and E are core text analysis features of OCI Language.
Conclusion: D and E are correct.
OCI documentation states: “OCI Language offers topic classification (D) and sentiment analysis (E) for text analysis, among other features.” A belongs to Vision, B and C aren’t available—only D and E match OCI Language’s capabilities.
1: Oracle Cloud Infrastructure Language Documentation, "Text Analysis Features".
NEW QUESTION # 27
You are running a pipeline in the OCI Data Science service and want to override some of the pipeline's default settings. Which of the following statements about overriding pipeline defaults is true?
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
Understand OCI Data Science Pipelines: Pipelines automate ML workflows with configurable steps.
Check Override Mechanism: Defaults (e.g., compute shape, storage) can be modified before execution via the OCI Console, SDK, or CLI.
Evaluate Options:
A: False—Overrides can occur post-creation, before running.
B: False—Any authorized user, not just admins, can override defaults.
C: True—Settings can be adjusted before execution starts.
D: False—Defaults can be changed post-creation, pre-execution.
Conclusion: C is correct as it reflects the flexibility of pipeline configuration.
OCI Data Science Pipelines allow users to override default settings (e.g., compute resources, environment variables) before execution, as noted in the official documentation. This can be done via the UI or programmatically, offering flexibility beyond creation time (A) and without admin-only restrictions (B). (Oracle Cloud Infrastructure Data Science Pipelines Documentation, "Configuring Pipelines").
NEW QUESTION # 28
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