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Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q76-Q81):

NEW QUESTION # 76
Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets from reference libraries and index websites such as scikit-learn?

A. DatasetFactory
B. DataLabeling
C. DatasetBrowser
D. SecretKeeper

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify ADS class for dataset access (e.g., scikit-learn).
* Evaluate Options:
* A: DataLabeling-Not an ADS class.
* B: DatasetBrowser-Not real.
* C: SecretKeeper-Credentials, not data.
* D: DatasetFactory-Loads datasets (e.g., open())-correct.
* Reasoning: DatasetFactory simplifies library dataset access.
* Conclusion: D is correct.
OCI documentation states: "DatasetFactory (D) in ADS SDK accesses datasets from libraries like scikit-learn (e.g., DatasetFactory.open('sklearn.datasets:load_iris'))." A, B, and C don't exist or apply-only D fits.
Oracle Cloud Infrastructure ADS SDK Documentation, "DatasetFactory".

NEW QUESTION # 77
Which is NOT a part of Observability and Management Services?

A. Event Services
B. Logging
C. Logging Analytics
D. OCI Management Service

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify the non-Observability and Management (O&M) service in OCI.
* Understand O&M: Includes monitoring, logging, events tools.
* Evaluate Options:
* A: Event Services-Triggers actions, part of O&M-correct.
* B: OCI Management Service-Not a defined O&M service-incorrect.
* C: Logging Analytics-Log analysis, O&M component-correct.
* D: Logging-Log collection, O&M component-correct.
* Reasoning: B isn't listed in OCI's O&M suite-others are.
* Conclusion: B is correct (not part of O&M).
OCI documentation lists "Observability and Management Services as including Event Services (A), Logging Analytics (C), and Logging (D)-'OCI Management Service' (B) is not a recognized component." B appears to be a misnomer-only A, C, D are O&M per OCI's service catalog.
Oracle Cloud Infrastructure Observability and Management Documentation, "Service Overview".

NEW QUESTION # 78
Which statement is true about standards?

A. They are the result of a regulation or contractual requirement or an industry requirement
B. They are the foundation of corporate governance
C. They may be audited
D. They are methods and instructions on how to maintain or accomplish the directives of the policy

Answer: C

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify a true statement about standards in an OCI context (likely governance/security).
* Understand Standards: Rules or benchmarks, often compliance-related.
* Evaluate Options:
* A: Auditable-True; standards are checked for adherence.
* B: Result of requirements-Partially true, but not always.
* C: Methods/instructions-More procedural, not defining standards.
* D: Foundation of governance-Broad, not specific to standards.
* Reasoning: A is universally true-standards face audits (e.g., SOC, ISO).
* Conclusion: A is correct.
OCI documentation notes: "Standards (e.g., security standards) may be audited (A) to ensure compliance with OCI policies or external regulations." B is a source, C describes procedures, D is too vague-only A is consistently true per OCI's compliance framework.
Oracle Cloud Infrastructure Security Documentation, "Compliance and Standards".

NEW QUESTION # 79
You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which of the following TWO prevailing metrics would you use for evaluating a multiclass classification model?

A. Explained variance score
B. Mean squared error
C. F1 Score
D. R-Squared
E. Recall

Answer: C,E

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Select two metrics for multiclass classification in AutoML.
* Understand Multiclass Metrics: Focus on class-specific performance-classification, not regression.
* Evaluate Options:
* A. Recall: Measures true positives per class-key for multiclass-correct.
* B. Mean squared error: Regression metric-incorrect.
* C. F1 Score: Balances precision and recall-standard for multiclass-correct.
* D. R-Squared: Regression fit-incorrect.
* E. Explained variance: Regression metric-incorrect.
* Reasoning: A and C assess classification accuracy across multiple classes-fit AutoML's evaluation.
* Conclusion: A and C are correct.
OCI AutoML documentation states: "For multiclass classification, common evaluation metrics include recall (A) for per-class sensitivity and F1 Score (C) for balanced performance." B, D, and E are regression- focused-only A and C are supported and relevant per OCI's AutoML metrics suite.
Oracle Cloud Infrastructure AutoML Documentation, "Evaluation Metrics for Classification".

NEW QUESTION # 80
You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a timestamp. What part of the Data Science lifecycle would you be in when creating the new variable?

A. Feature engineering
B. Data access
C. Model type selection
D. Model validation

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Locate the lifecycle stage for transforming timestamps into categories.
* Understand Lifecycle:
* Model Type Selection: Choosing algorithms-post-data prep.
* Model Validation: Evaluating performance-post-training.
* Data Access: Retrieving raw data-pre-transformation.
* Feature Engineering: Creating new features-correct.
* Evaluate Options:
* A: Too late-incorrect.
* B: Post-model-incorrect.
* C: Pre-transformation-incorrect.
* D: Feature creation-correct.
* Reasoning: Converting timestamps to time periods is feature engineering.
* Conclusion: D is correct.
OCI documentation states: "Feature engineering (D) transforms raw data, such as timestamps into categorical variables (e.g., morning/afternoon), to enhance model inputs." A, B, and C occur at different stages-only D fits OCI's lifecycle for this task.
Oracle Cloud Infrastructure Data Science Documentation, "Feature Engineering Stage".

NEW QUESTION # 81
......

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How Good Is To Take PracticeTorrent Oracle 1z0-1110-25 Practice Test Material?

1z0-1110-25 Exam Dumps & 1z0-1110-25 Valid Exam Format

Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q76-Q81):

Pass Guaranteed Quiz 2025 Oracle High Hit-Rate 1z0-1110-25: PDF Oracle Cloud Infrastructure 2025 Data Science Professional Cram Exam

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