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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Section	Weight	Objectives
OCI Data Science Service	30%	- Projects and notebooks 1. Notebook sessions 2. Conda environments - Model catalog 1. Model metadata 2. Model versioning
Machine Learning Fundamentals	20%	- Unsupervised learning 1. Dimensionality reduction 2. Clustering - Supervised learning 1. Classification 2. Regression
Model Development and Deployment	30%	- Model training 1. Hyperparameter optimization 2. Experiments - Model deployment 1. Deployment creation 2. Prediction endpoints
MLOps and OCI Integration	20%	- Automation and pipelines 1. CI/CD integration 2. Model lifecycle management - OCI ecosystem 1. Object Storage 2. IAM and security

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Oracle Cloud Infrastructure Data Science Professional Sample Questions (Q57-Q62):

NEW QUESTION # 57
Which statement about Oracle Cloud Infrastructure Anomaly Detection is true?

A. Data used for analysis can be text or numerical in nature
B. It is trained on a combination of customer and general industry datasets
C. Accepted file types are SQL and Python
D. It is an important tool for detecting fraud, network intrusions, and discrepancies in sensor time series analysis

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Find a true statement about OCI Anomaly Detection.
Understand Service: Detects anomalies in multivariate data (e.g., time series).
Evaluate Options:
A: False—Accepted types are CSV/JSON, not SQL/Python.
B: Partially true—Focuses on numerical data (e.g., sensors), not text broadly.
C: True—Used for fraud, intrusions, and sensor anomalies (key use cases).
D: False—Trained on customer data only, not general datasets.
Reasoning: C aligns with documented applications; others misalign.
Conclusion: C is correct.
OCI Anomaly Detection documentation states: “The service is designed to detect anomalies in time series data, making it valuable for fraud detection, network intrusion analysis, and sensor discrepancies.” A is incorrect (file formats), B overgeneralizes (numerical focus), and D misstates training data—only C matches the service’s purpose.
1: Oracle Cloud Infrastructure Anomaly Detection Documentation, "Use Cases".

NEW QUESTION # 58
You are given a task of writing a program that sorts document images by language. Which Oracle AI Service would you use?

A. OCI Language
B. OCI Vision
C. OCI Speech
D. Oracle Digital Assistant

Answer: A

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.
1: Oracle Cloud Infrastructure Language Documentation, "Language Detection".

NEW QUESTION # 59
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?

A. Identity Federation
B. Data encryption
C. Security controls
D. Customer isolation

Answer: B

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 # 60
Which type of firewalls are designed to protect against web application attacks, such as SQL injection and cross-site scripting?

A. Stateful inspection firewall
B. Incident firewall
C. Packet filtering firewall
D. Web Application Firewall

Answer: D

Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Identify the firewall type protecting against web app attacks like SQL injection and XSS.
Understand Firewall Types:
Stateful Inspection: Tracks connection states, not app-specific.
Web Application Firewall (WAF): Targets web app vulnerabilities.
Incident Firewall: Not a recognized term.
Packet Filtering: Basic packet rules, not app-aware.
Evaluate Options:
A: Stateful—General network, not web-specific—incorrect.
B: WAF—Designed for SQLi, XSS—correct.
C: Incident—Non-existent—incorrect.
D: Packet—Low-level, not app-focused—incorrect.
Reasoning: WAF specializes in web app security—matches requirement.
Conclusion: B is correct.
OCI documentation states: “Web Application Firewall (WAF) (B) protects against web application attacks like SQL injection and cross-site scripting by inspecting HTTP traffic.” A and D handle network-level threats, C isn’t real—only B aligns with OCI’s WAF purpose.
1: Oracle Cloud Infrastructure WAF Documentation, "Overview".

NEW QUESTION # 61
You want to write a program that performs document analysis tasks such as extracting text and tables from a document. Which Oracle AI service would you use?

A. OCI Vision
B. OCI Speech
C. OCI Language
D. Oracle Digital Assistant

Answer: A

Explanation:
Detailed Answer in Step-by-Step Solution:
Objective: Select an OCI AI service for text and table extraction from documents.
Evaluate Options:
A: Language—Text analysis, not extraction—incorrect.
B: Digital Assistant—Chatbots, not document tasks—incorrect.
C: Speech—Audio transcription, not documents—incorrect.
D: Vision—OCR for text/tables—correct.
Reasoning: Vision’s OCR extracts text and tables from document images.
Conclusion: D is correct.
OCI documentation states: “OCI Vision (D) uses OCR to extract text and tables from documents, supporting document analysis tasks.” A analyzes text post-extraction, B and C are unrelated—only D fits per OCI’s AI services.
1: Oracle Cloud Infrastructure Vision Documentation, "Document Analysis Features".

NEW QUESTION # 62
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