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Oracle Cloud Infrastructure 2025 Data Science Professional Sample Questions (Q40-Q45):

NEW QUESTION # 40
You want to create an anomaly detection model using the OCI Anomaly Detection service that avoids as many false alarms as possible. False Alarm Probability (FAP) indicates model performance. How would you set the value of the False Alarm Probability?

A. Use a function
B. High
C. Low
D. Zero

Answer: C

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Minimize false alarms in OCI Anomaly Detection.
* Understand FAP: False Alarm Probability-lower FAP means fewer false positives.
* Evaluate Options:
* A: High FAP-Increases false alarms-incorrect.
* B: Low FAP-Reduces false alarms-correct.
* C: Zero FAP-Unrealistic; risks missing true anomalies.
* D: Function-Vague, not a direct setting.
* Reasoning: Low FAP balances sensitivity and false positives- aligns with goal.
* Conclusion: B is correct.
OCI Anomaly Detection documentation states: "Set a low False Alarm Probability (FAP) to minimize false positives, though too low (e.g., zero) may miss anomalies." B fits the goal-high (A) increases errors, zero (C) is impractical, and function (D) isn't specified.
Oracle Cloud Infrastructure Anomaly Detection Documentation, "Configuring FAP".

NEW QUESTION # 41
What is the primary difference between a data scientist and a data engineer?

A. A data engineer analyzes data after a data scientist collects and prepares it.
B. A data engineer collects and prepares data, and a data scientist then analyzes it.
C. A data engineer creates data flows to be used as templates by the data analyst.
D. A data engineer builds data pipelines and helps prepare data, while a data scientist is responsible for data collection, preparation, and analysis.

Answer: B

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Differentiate data scientist vs. data engineer roles.
* Define Roles:
* Data Engineer: Builds pipelines, prepares data.
* Data Scientist: Analyzes data, builds models.
* Evaluate Options:
* A: Engineer preps, scientist analyzes-Correct division.
* B: Reverses roles-Incorrect.
* C: Overlaps roles-Scientist doesn't typically build pipelines.
* D: Misaligns-Analyst isn't the focus.
* Reasoning: A reflects standard role separation.
* Conclusion: A is correct.
OCI documentation notes: "Data engineers focus on collecting and preparing data through pipelines, while data scientists analyze it to derive insights and build models." A aligns, B inverts, C overcomplicates, and D shifts focus-only A is accurate.
Oracle Cloud Infrastructure Data Science Documentation, "Roles in Data Science".

NEW QUESTION # 42
You are a data scientist; you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?

A. Text classification, Named Entity Recognition (NER)
B. Sentiment Analysis, Named Entity Recognition (NER)
C. Object detection, Text classification
D. Image classification, Named Entity Recognition (NER)

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Identify custom model types for OCI Language.
* Understand OCI Language: Focuses on text analysis.
* Evaluate Options:
* A: Image classification-Not text-based, incorrect.
* B: Text classification, NER-Both text tasks-correct.
* C: Sentiment, NER-Sentiment is pretrained, not custom.
* D: Object detection-Image-based, incorrect.
* Reasoning: B aligns with OCI Language's text custom models.
* Conclusion: B is correct.
OCI Language documentation states: "Custom models can be trained for text classification and Named Entity Recognition (NER) using your data." Image tasks (A, D) are for Vision, and sentiment (C) is pretrained- only B fits OCI Language's scope.
Oracle Cloud Infrastructure Language Documentation, "Custom Model Training".

NEW QUESTION # 43
You have trained a binary classifier for a loan application and saved this model into the model catalog. A colleague wants to examine the model, and you need to share the model with your colleague. From the model catalog, which model artifacts can be shared?

A. Models, model metadata, hyperparameters, metrics
B. Metadata, hyperparameters, metrics only
C. Model metadata and hyperparameters only
D. Models and metrics only

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
* Understand Model Catalog: The OCI Model Catalog stores trained models and associated details.
* Identify Shareable Artifacts: When sharing, all components-model file, metadata (e.g., name, description), hyperparameters (e.g., learning rate), and metrics (e.g., accuracy)-are accessible.
* Evaluate Options:
* A: Excludes the model itself-incorrect.
* B: Excludes metrics-incorrect.
* C: Excludes metadata and hyperparameters-incorrect.
* D: Includes all components-correct.
* Conclusion: D is comprehensive and accurate.
The OCI Model Catalog allows sharing of the model artifact (the trained model), metadata, hyperparameters, and performance metrics, enabling full examination by colleagues. This isdetailed in the official documentation. (Reference: Oracle Cloud Infrastructure Data Science Documentation, "Model Catalog Overview").

NEW QUESTION # 44
Triggering a PagerDuty notification as part of Monitoring is an example of what in the OCI Console?

A. Function
B. Event
C. Rule
D. Action

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
* Objective: Classify a PagerDuty notification in OCI Monitoring.
* Understand OCI Monitoring: Involves events, rules, and actions for notifications.
* Evaluate Options:
* A: Action-executes a response (e.g., notify PagerDuty) when triggered-correct.
* B: Rule-defines conditions for triggering actions-precedes the action.
* C: Function-serverless code, not directly tied to notifications.
* D: Event-state change triggering a rule, not the notification itself.
* Reasoning: The notification is the action taken after an event/rule-fits A.
* Conclusion: A is correct.
OCI documentation states: "Actions in the Monitoring service execute responses, such as sending notifications to PagerDuty, when a rule's condition is met based on an event." Rules (B) set conditions, Functions (C) are unrelated, and Events (D) are triggers-only Action (A) describes the notification step.
Oracle Cloud Infrastructure Monitoring Documentation, "Actions Overview".

NEW QUESTION # 45
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