Free Practice Questions for Oracle 1z0-1110-25 Exam

Detailed Answer in Step-by-Step Solution:

Objective: Identify IAM components in OCI.

Understand IAM: Manages access via policies, groups, etc.

Evaluate Options:

A: Policies—Core IAM component—correct.

B: Subnets—Networking, not IAM.

C: Instances—Compute, not IAM.

D: VCN—Networking, not IAM.

Reasoning: Only A is an IAM element—others are resources.

Conclusion: A is correct.

OCI documentation states: “IAM includes components like policies (A), groups, and compartments to control resource access.” B, C, and D are infrastructure, not IAM—only A fits per OCI’s IAM framework.

Oracle Cloud Infrastructure IAM Documentation, "IAM Components".

Detailed Answer in Step-by-Step Solution:

Understand OCI Data Labeling Export: After annotation, datasets are exported for ML use.

Check Supported Formats: OCI Data Labeling exports annotations in a structured, machine-readable format.

Evaluate Options:

A: Binary isn’t a standard export format for annotations.

B: XML isn’t used; JSON is preferred for flexibility.

C: Line-delimited JSON is the correct format, aligning with ML workflows.

D: CSV is common but not the default for OCI Data Labeling.

Conclusion: C matches the official export format.

OCI Data Labeling exports annotated datasets as line-delimited JSON files, which store each annotation as a separate JSON object per line, suitable for ML pipelines. This is explicitly stated in the documentation. (Reference: Oracle Cloud Infrastructure Data Labeling Service Documentation, "Exporting Datasets").

Detailed Answer in Step-by-Step Solution:

Objective: Securely authenticate a recurring OCI Job.

Evaluate Options:

A: PAR—Limited duration, insecure for recurring jobs.

B: Resource principal—Secure, managed auth for Jobs—correct.

C: Personal config—Unscalable, security risk.

D: Vault with personal keys—Complex, still uses user creds.

Reasoning: B uses OCI’s native, secure resource principal mechanism.

Conclusion: B is correct.

OCI documentation states: “For Jobs accessing sensitive data, use resource principals with a dynamic group (e.g., resource.type = 'datasciencejobrun') and policies granting access to Object Storage and Model Catalog—secure and scalable.” A is temporary, C and D risk credential exposure—B is best practice.

Oracle Cloud Infrastructure Data Science Documentation, "Job Authentication".

Detailed Answer in Step-by-Step Solution:

Objective: Apply all recommended transformations from get_recommendations() in ADS.

Understand ADS Tools: get_recommendations() suggests fixes (e.g., missing values).

Evaluate Options:

A: Returns transformed data—Not for applying—incorrect.

B: Sklearn-style, not ADS-specific—incorrect.

C: auto_transform()—Applies all recommendations—correct.

D: Visualizes, doesn’t apply—incorrect.

Reasoning: auto_transform() executes the fixes suggested by get_recommendations().

Conclusion: C is correct.

OCI documentation states: “After get_recommendations() identifies issues, use auto_transform() (C) on the ADSDataset to apply all recommended transformations at once.” A retrieves, B is external, D visualizes—only C aligns with OCI’s ADS transformation workflow.

Oracle Cloud Infrastructure ADS SDK Documentation, "Data Transformation Methods".

Detailed Answer in Step-by-Step Solution:

Objective: Identify interfaces to save a 2 GB model to the Model Catalog.

Evaluate Options:

A: OCI CLI—Supports Data Science tasks—possible but not primary.

B: ADS SDK—Designed for model catalog ops—correct.

C: ODSC CLI—Not standard; likely typo for OCI CLI.

D: Console—GUI for catalog uploads—correct.

E: OCI Python SDK—Programmatic catalog access—correct.

F: Git CLI—Version control, not catalog-related.

Reasoning: B, D, E are OCI’s primary interfaces; A is valid but less emphasized.

Conclusion: B, D, E are correct (A plausible but not top-tier).

OCI documentation lists “ADS SDK (B), OCI Console (D), and OCI Python SDK (E) as primary methods to save models to the Model Catalog.” OCI CLI (A) works but isn’t highlighted, C isn’t real, and F is unrelated—B, D, E are the standard trio.

Oracle Cloud Infrastructure Data Science Documentation, "Model Catalog Interfaces".

Detailed Answer in Step-by-Step Solution:

Objective: Calculate optimal bandwidth for model deployment.

Given Data:

Payload size = 1024 KB = 1024 * 8 = 8192 Kb (kilobits).

Requests/sec = 120.

Buffer = 20% = 0.2.

Calculate Base Bandwidth:

Bits/sec = Payload * Requests = 8192 Kb * 120 = 983,040 Kb/s = 983.04 Mbps.

Add Buffer:

Total = Base * (1 + Buffer) = 983.04 * 1.2 = 1179.648 Mbps.

Evaluate Options: Closest to 1179.648 Mbps is 1152 Mbps (D)—realistic rounding.

Conclusion: D is correct.

OCI documentation advises: “Calculate bandwidth as payload size (in bits) * requests/sec, then add a buffer (e.g., 20%) for peak loads.” Here, 1024 KB = 8192 Kb, * 120 = 983.04 Mbps, * 1.2 = 1179.648 Mbps. D (1152 Mbps) is the closest practical option—452 (A) and 52 (B) are too low, 7052 (C) excessive.

Oracle Cloud Infrastructure Data Science Documentation, "Model Deployment - Load Balancing".

Detailed Answer in Step-by-Step Solution:

Understand Multiclass Classification: Metrics evaluate how well the model predicts multiple classes.

Evaluate Metrics:

A. Mean squared error: Used for regression, not classification.

B. Explained variance score: Regression metric, not suitable.

C. Recall: Measures true positive rate per class—key for classification.

D. F1-score: Balances precision and recall—widely used in multiclass.

E. R-squared: Regression metric, not applicable.

Select Two: Recall (C) and F1-score (D) are standard for multiclass classification.

Oracle AutoML supports metrics like recall and F1-score for multiclass classification, as they assess per-class performance and overall precision-recall balance, respectively. Regression metrics (A, B,E) are irrelevant here. (Reference: Oracle Cloud Infrastructure Data Science Documentation, "AutoML Metrics").

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".

Detailed Answer in Step-by-Step Solution:

Objective: Match a cache rule criterion for exact URL path and query.

Understand Cache Rules: Used in OCI (e.g., WAF, CDN) to cache content.

Evaluate Options:

A: Contains—Partial match, not exact.

B: Is—Exact match of full URL (path + query)—correct.

C: Ends with—Matches end, not full URL.

D: Starts with—Matches start, not full URL.

Reasoning: “URL_IS” checks exact equality—fits requirement.

Conclusion: B is correct.

OCI documentation states: “The URL_IS (B) criterion in cache rules matches when the full URL (path and query) exactly equals the specified value.” A, C, and D are partial matches—only B ensures identical concatenation per OCI’s caching config.

Oracle Cloud Infrastructure WAF Documentation, "Cache Rules Criteria".

Detailed Answer in Step-by-Step Solution:

Objective: Identify a true statement about standards in an OCI context (likely governance/security).

Understand Standards: Rules or benchmarks, often compliance-related.

Evaluate Options:

A: Auditable—True; standards are checked for adherence.

B: Result of requirements—Partially true, but not always.

C: Methods/instructions—More procedural, not defining standards.

D: Foundation of governance—Broad, not specific to standards.

Reasoning: A is universally true—standards face audits (e.g., SOC, ISO).

Conclusion: A is correct.

OCI documentation notes: “Standards (e.g., security standards) may be audited (A) to ensure compliance with OCI policies or external regulations.” B is a source, C describes procedures, D is too vague—only A is consistently true per OCI’s compliance framework.

Oracle Cloud Infrastructure Security Documentation, "Compliance and Standards".