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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: OCI Data Science Service | 30% | - Model catalog
|
| Topic 2: Machine Learning Fundamentals | 20% | - Supervised learning
|
| Topic 3: MLOps and OCI Integration | 20% | - Automation and pipelines
|
| Topic 4: Model Development and Deployment | 30% | - Model deployment
|
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NEW QUESTION # 52
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: E
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 # 53
Which of these protects customer data at rest and in transit in a way that allows customers to meet their security and compliance requirements for cryptographic algorithms and key management?
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify protection for data at rest/transit with customer control.
Evaluate Options:
A: Controls—Broad, not specific to encryption.
B: Isolation—Separates tenants, not crypto-focused.
C: Encryption—Secures data, allows key management—correct.
D: Federation—Auth sharing, not data protection.
Reasoning: C provides crypto control (e.g., Vault keys).
Conclusion: C is correct.
OCI documentation states: “Data encryption (C) protects data at rest and in transit, with customer-managed keys in OCI Vault meeting compliance needs.” A and B are broader, D is unrelated—only C fits per OCI’s security model.
1: Oracle Cloud Infrastructure Security Documentation, "Data Encryption".
NEW QUESTION # 54
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?
Answer: D
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Transcribe Spanish video audio and identify profanity.
Evaluate Options:
A: Anomaly Detection—Not for transcription or text analysis.
B: Speech—Converts audio to text (e.g., Spanish), base for further analysis—correct.
C: Translation—Translates text, not transcription.
D: Language—Analyzes text (e.g., profanity), but needs transcribed input.
Reasoning: Speech (B) transcribes video audio; Language could follow for profanity.
Conclusion: B is correct for transcription.
OCI Speech “transcribes audio from video or audio files into text, supporting languages like Spanish.” Post-transcription, OCI Language could detect profanity, but B is the starting point—Anomaly (A) and Translation (C) don’t fit.
1: Oracle Cloud Infrastructure Speech Documentation, "Transcription Features".
NEW QUESTION # 55
Which architecture is based on the principle of “never trust, always verify”?
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify the architecture with “never trust, always verify.” Evaluate Options:
A: Federated identity—Shares auth, not verification-focused.
B: Zero trust—Explicitly “never trust, always verify”—correct.
C: Fluid perimeter—Adaptive, not the core principle.
D: Defense in depth—Layered, not verification-centric.
Reasoning: Zero trust matches the stated principle exactly.
Conclusion: B is correct.
OCI documentation states: “Zero trust (B) architecture operates on ‘never trust, always verify,’ requiring continuous authentication and authorization.” A, C, and D have different focuses—only B aligns with OCI’s security philosophy.
1: Oracle Cloud Infrastructure Security Documentation, "Zero Trust Architecture".
NEW QUESTION # 56
What is the minimum active storage duration for logs used by Logging Analytics to be archived?
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Determine minimum log storage duration before archiving in Logging Analytics.
Understand Logging Analytics: Logs are active before archival.
Evaluate Options:
A: 60 days—Too long for minimum.
B: 10 days—Too short.
C: 30 days—Standard minimum—correct.
D: 15 days—Not OCI’s default.
Reasoning: 30 days is OCI’s documented minimum active period.
Conclusion: C is correct.
OCI documentation states: “Logs in Logging Analytics remain active for a minimum of 30 days (C) before archiving, ensuring availability for analysis.” B and D are shorter, A is longer—only C matches OCI’s policy.
1: Oracle Cloud Infrastructure Logging Analytics Documentation, "Log Retention".
NEW QUESTION # 57
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