1z0-1110-25软件版 - 1z0-1110-25考古题推薦關於1z0-1110-25認證考試的相關資料，有很多網站都可以提供。但是，他們都不能保證考試資料的品質，同時也不能給你考試失敗就全額退款的保障。比起那些普通的參考資料，Fast2test的1z0-1110-25考古題完全是一個值得你利用的工具。在Fast2test的指導和幫助下，你完全可以充分地準備考試，並且可以輕鬆地通過考試。如果你想在IT行業有更大的發展，那你有必要參加IT認證考試。如果你想順利通過你的IT考試嗎，那麼你完全有必要使用Fast2test的考古題。 最新的 Oracle Cloud 1z0-1110-25 免費考試真題 (Q127-Q132):問題 #127
What is feature engineering in machine learning used for?
A. To perform parameter tuning
B. To interpret ML models
C. To help understand the dataset features
D. To transform existing features into new ones
答案：D
解題說明：
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 with C. Other options (A, B, D) relate to different ML stages.
Oracle Cloud Infrastructure Data Science Documentation, "Feature Engineering Overview".
問題 #128
Where are OCI secrets stored?
A. OCI Object Storage
B. Oracle Databases
C. OCI Vault
D. Autonomous Data Warehouse
答案：C
解題說明：
Detailed Answer in Step-by-Step Solution:
* Define OCI Secrets: Secrets are sensitive data (e.g., API keys, passwords) managed securely in OCI.
* Evaluate Options:
* A: Object Storage is for general data, not secure secret management.
* B: Vault is OCI's service for storing and managing secrets securely.
* C: Autonomous Data Warehouse is for analytics, not secret storage.
* D: Oracle Databases store data, not OCI-specific secrets.
* Reasoning: Vault is purpose-built for secrets with encryption and access control.
* Conclusion: B is correct.
OCI Vault "provides a secure, centralized service to store and manage secrets, such as passwords and keys, with encryption at rest and fine-grained access policies." Object Storage (A), Autonomous Data Warehouse (C), and Oracle Databases (D) serve other purposes-only Vault (B) is designed for secrets per OCI's security architecture.
Oracle Cloud Infrastructure Vault Documentation, "Secrets Management".
問題 #129
As a data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custommodels.
Which types of custom models can be trained?
A. Image classification, Named Entity Recognition (NER)
B. Object detection, Text classification
C. Text classification, Named Entity Recognition (NER)
D. Sentiment Analysis, Named Entity Recognition (NER)
答案：C
解題說明：
Detailed Answer in Step-by-Step Solution:
* Objective: Identify custom model types for OCI Language service.
* Understand OCI Language: Focuses on text analysis, not images.
* Evaluate Options:
* A: Image classification-Incorrect; Language is text-based.
* B: Text classification, NER-Both text tasks-correct.
* C: Sentiment-Pretrained, not custom; NER ok-incorrect.
* D: Object detection-Image-based, incorrect.
* Reasoning: B aligns with OCI Language's custom text capabilities.
* Conclusion: B is correct.
OCI documentation states: "OCI Language supports training custom models for text classification and Named Entity Recognition (NER) (B) using user data." A and D involve images, C includes pretrained sentiment- only B matches OCI Language's custom model scope.
Oracle Cloud Infrastructure Language Documentation, "Custom Model Types".
問題 #130
How can you collaborate with team members in OCI Data Science Workspace?
A. By enabling chat and video conferencing within the workspace
B. By using version control systems integrated with the workspace
C. By granting access to specific notebooks and files
D. By sharing the workspace instance with other users
答案：B
解題說明：
Detailed Answer in Step-by-Step Solution:
* Objective: Determine collaboration method in OCI Data Science (Notebook Sessions).
* Evaluate Options:
* A: Access control-Possible but not primary collaboration.
* B: Version control (e.g., Git)-Standard for code sharing-correct.
* C: Shared instance-Not supported; sessions are single-user.
* D: Chat/video-Not a feature of OCI Data Science.
* Reasoning: B leverages Git for team collaboration-OCI's recommended method.
* Conclusion: B is correct.
OCI documentation states: "Collaborate in Data Science by integrating version control systems like Git (B) with notebook sessions to share code and notebooks." A is limited, C isn't feasible, and D isn't available- only B matches OCI's collaboration approach.
Oracle Cloud Infrastructure Data Science Documentation, "Collaboration with Git".
問題 #131
You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?
A. Topic classification
B. Punctuation correction
C. Sentence diagramming
D. Sentiment analysis
E. Table extraction
答案：A,D
解題說明：
Detailed Answer in Step-by-Step Solution:
* Objective: Identify two OCI Language AI capabilities.
* Understand OCI Language: Focuses on text analysis tasks.
* Evaluate Options:
* A: Table extraction-Vision, not Language-incorrect.
* B: Punctuation correction-Not offered-incorrect.
* C: Sentence diagramming-Not supported-incorrect.
* D: Topic classification-Supported (custom/pretrained)-correct.
* E: Sentiment analysis-Supported (pretrained)-correct.
* Reasoning: D and E are core text analysis features of OCI Language.
* Conclusion: D and E are correct.
OCI documentation states: "OCI Language offers topic classification (D) and sentiment analysis (E) for text analysis, among other features." A belongs to Vision, B and C aren't available-only D and E match OCI Language's capabilities.
Oracle Cloud Infrastructure Language Documentation, "Text Analysis Features".
Author: billfox497 Time: before yesterday 23:05
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