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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: OCI Data Science - Introduction & Configuration | 10% | - Overview and core concepts of OCI Data Science - Tenancy and environment configuration for Data Science - Capabilities of the Accelerated Data Science (ADS) SDK |
| Topic 2: Design and Set Up Data Science Workspace | 15% | - Configure compute shapes, storage, and networking - Create and manage projects and notebook sessions - Manage access control, security, and IAM integration |
| Topic 3: Implement End-to-End Machine Learning Lifecycle | 45% | - Model development, training, and evaluation - Data preparation, exploration, and transformation - Use AutoML and built-in algorithms - Deploy models and manage endpoints - Model saving, cataloging, and versioning |
| Topic 4: Integrate Related OCI Services | 10% | - Integration with OCI Object Storage, Vault, and Networking - Use OCI AI and data services with Data Science |
| Topic 5: Apply MLOps Practices | 20% | - Governance, auditing, and compliance - Model monitoring, drift detection, and performance tracking - ML pipelines, automation, and reproducibility |
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NEW QUESTION # 149
Which statement is true about origin management in Web Application Firewall (WAF)?
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Determine truth about WAF origin management.
Understand WAF: Protects apps by routing traffic via origins.
Evaluate Statements:
A: Multiple origins—True; WAF supports this.
B: Single active origin—True; only one is active per policy.
Evaluate Options:
C: B only—False; A is true.
D: Both false—Incorrect.
E: Both true—Correct per OCI WAF.
F: A only—False; B is true.
Conclusion: E is correct.
OCI documentation states: “WAF allows defining multiple origins (A), but only one origin is active per WAF policy at a time (B)—both are true (E).” C, D, and F misalign—E matches OCI’s WAF origin management.
1: Oracle Cloud Infrastructure WAF Documentation, "Origin Management".
NEW QUESTION # 150
Which statement is true about standards?
Answer: D
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.
1: Oracle Cloud Infrastructure Security Documentation, "Compliance and Standards".
NEW QUESTION # 151
What is the first step in the data science process?
Answer: C
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify the initial data science step.
Define Process: Starts with problem definition, then data and modeling.
Evaluate Options:
A: Data collection—Second step after problem definition.
B: Modeling—Later stage.
C: Hypothesis—Sets the goal, first step—correct.
D: Data owners—Collaboration, not the start.
Reasoning: Hypothesis drives the process (e.g., “Can we predict churn?”).
Conclusion: C is correct.
OCI documentation states: “The data science process begins with defining an analytical hypothesis to address a business problem, followed by data collection and analysis.” C precedes A, B, and D—aligning with OCI’s structured approach.
1: Oracle Cloud Infrastructure Data Science Documentation, "Data Science Process".
NEW QUESTION # 152
Which cache rules criterion matches if the concatenation of the requested URL path and query are identical to the contents of the value field?
Answer: C
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Match a cache rule criterion for exact URL path and query.
Understand Cache Rules: Used in OCI (e.g., WAF, CDN) to cache content.
Evaluate Options:
A: Contains—Partial match, not exact.
B: Is—Exact match of full URL (path + query)—correct.
C: Ends with—Matches end, not full URL.
D: Starts with—Matches start, not full URL.
Reasoning: “URL_IS” checks exact equality—fits requirement.
Conclusion: B is correct.
OCI documentation states: “The URL_IS (B) criterion in cache rules matches when the full URL (path and query) exactly equals the specified value.” A, C, and D are partial matches—only B ensures identical concatenation per OCI’s caching config.
1: Oracle Cloud Infrastructure WAF Documentation, "Cache Rules Criteria".
NEW QUESTION # 153
What is feature engineering in machine learning used for?
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
Define Feature Engineering: It’s the process of creating or modifying features to improve model performance.
Evaluate Options:
A: Parameter tuning adjusts model hyperparameters (e.g., learning rate), not features.
B: Model interpretation (e.g., SHAP values) explains predictions, not feature creation.
C: Transforming features (e.g., normalizing, encoding) is the core of feature engineering—correct.
D: Understanding features occurs during exploration, not engineering.
Reasoning: Feature engineering directly manipulates data inputs (e.g., converting timestamps to day-of-week), distinct from tuning or interpretation.
Conclusion: C is the precise definition.
OCI Data Science documentation defines feature engineering as “the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy.” Examples include scaling or creating interaction terms, aligning 1with C. Other options (A, B, D) relate to different ML stages.
1: Oracle Cloud Infrastructure Data Science Documentation, "Feature Engineering Overview".
NEW QUESTION # 154
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