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Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q123-Q128):
NEW QUESTION # 123
What is the minimum active storage duration for logs used by Logging Analytics to be archived?
- A. 10 days
- B. 15 days
- C. 60 days
- D. 30 days
Answer: D
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.
Oracle Cloud Infrastructure Logging Analytics Documentation, "Log Retention".
NEW QUESTION # 124
How can you convert a fixed load balancer to a flexible load balancer?
- A. Use Update Shape workflows
- B. There is no way to convert the load balancer
- C. Delete the fixed load balancer and create a new one
- D. Using the Edit Listener option
Answer: C
Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Convert fixed to flexible load balancer in OCI.
* Understand Load Balancers: Fixed (e.g., 10 Mbps) vs. flexible (dynamic shapes).
* Evaluate Options:
* A: False-Conversion possible via recreation.
* B: Update Shape-For flexible only, not conversion.
* C: Delete and recreate-Standard method-correct.
* D: Edit Listener-Configures rules, not type.
* Reasoning: OCI requires new creation for type change.
* Conclusion: C is correct.
OCI documentation states: "To change from a fixed to a flexible load balancer, delete the existing fixed load balancer and create a new flexible one (C)-direct conversion isn't supported." A is too absolute, B and D don't apply-only C matches OCI's process.
Oracle Cloud Infrastructure Load Balancing Documentation, "Changing Load Balancer Type".
NEW QUESTION # 125
You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor data. What are you trying to determine? How does the required False Alarm Probability setting affect an anomaly detection model?
- A. It adds a score to each signal indicating the probability that it's a false alarm
- B. It changes the sensitivity of the model to detecting anomalies
- C. It determines how many false alarms occur before an error message is generated
- D. It is used to disable the reporting of false alarms
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Understand FAP's effect in OCI Anomaly Detection.
* Evaluate Options:
* A: Disable reporting-Incorrect; FAP sets threshold.
* B: Sensitivity-Correct; lower FAP reduces false positives.
* C: Error message-Incorrect; not a count mechanism.
* D: Score per signal-Incorrect; FAP is a global setting.
* Reasoning: FAP adjusts detection threshold-key to sensitivity.
* Conclusion: B is correct.
OCI documentation states: "False Alarm Probability (FAP) controls the model's sensitivity-lower values reduce false positives, higher values increase detection." B aligns-others misrepresent FAP's role.
Oracle Cloud Infrastructure Anomaly Detection Documentation, "FAP Configuration".
NEW QUESTION # 126
True or false? Data scientists typically need a combination of technical skills, nontechnical ones, and suitable personality traits to be successful.
Answer: A
Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Assess required skills for data scientists.
* Analyze Skills:
* Technical: Coding, stats, ML.
* Nontechnical: Communication, business acumen.
* Traits: Curiosity, problem-solving.
* Reasoning: Success requires this mix-e.g., explaining models to stakeholders.
* Conclusion: A (True) is correct.
OCI documentation states: "Effective data scientists combine technical skills (e.g., Python), nontechnical skills (e.g., storytelling), and traits like analytical thinking." This holistic requirement is true (A), not false (B).
Oracle Cloud Infrastructure Data Science Documentation, "Data Scientist Skills".
NEW QUESTION # 127
You are given a task of writing a program that sorts document images by language. Which Oracle AI Service would you use?
- A. OCI Vision
- B. OCI Language
- C. OCI Speech
- D. Oracle Digital Assistant
Answer: B
Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Select an OCI AI service to sort images by language.
* Evaluate Options:
* A: Digital Assistant-Chatbots, not image/language processing.
* B: Vision-Image analysis (e.g., object detection), not language sorting.
* C: Speech-Audio-to-text, not image-based.
* D: Language-Text analysis (e.g., language detection) after OCR-correct.
* Reasoning: Images need OCR (Vision) then language detection (Language)-D fits the sorting task.
* Conclusion: D is correct.
OCI Language "detects and classifies languages in text," often paired with OCI Vision's OCR to process document images. Vision (B) extracts text, but Language (D) sorts by language-Digital Assistant (A) and Speech (C) don't apply. Documentation supports this workflow.
Oracle Cloud Infrastructure Language Documentation, "Language Detection".
NEW QUESTION # 128
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