Get Oracle 1Z0-1110-25 Exam Practice Questions - Real and Updated

Answer : C

Detailed Answer in Step-by-Step Solution:

Objective: Encode categorical features in a Data Science context (likely ADS SDK).

Understand Encoding: Converts categories (e.g., countries) to numerical forms.

Evaluate Options:

A: Not a standard ADS method---incorrect.

B: General transformation, not specific encoding---incorrect.

C: OneHotEncoder---Standard for categorical encoding---correct.

D: Visualization, not encoding---incorrect.

Reasoning: One-hot encoding creates binary columns---ideal for multiple categories.

Conclusion: C is correct.

OCI documentation states: ''In ADS SDK, use OneHotEncoder (C) from sklearn (or similar) to encode categorical features like 'countries' into binary vectors for modeling.'' A isn't real, B is too broad, D is unrelated---only C fits OCI's encoding practice.

: Oracle Cloud Infrastructure Data Science Documentation, 'Feature Encoding with ADS'.

Answer : D

Detailed Answer in Step-by-Step Solution:

Understand OCI Anomaly Detection: This service trains models to detect anomalies in multivariate data (e.g., sensor readings), requiring data to be accessible within OCI's ecosystem.

Assess Storage Requirements: The training data must be in a scalable, OCI-compatible location that the Anomaly Detection service can access programmatically.

Evaluate Options:

A . Your local machine: Data on a local machine isn't directly accessible to OCI services without upload, making it impractical for cloud-based training.

B . MySQL database: While OCI supports MySQL, Anomaly Detection doesn't natively integrate with it for training data; it prefers file-based input.

C . Autonomous Data Warehouse: This is a database for analytics, not the default storage for Anomaly Detection training data, which expects CSV/JSON files.

D . Object Storage Bucket: OCI Object Storage is a scalable, durable storage service that Anomaly Detection uses to ingest training data (e.g., CSV files).

Reasoning: Object Storage is the standard for large-scale data in OCI services, offering seamless integration with Anomaly Detection via APIs or SDKs.

Conclusion: D is the correct choice as it aligns with the service's architecture.

The OCI Anomaly Detection service requires training data to be uploaded to an Object Storage Bucket in formats like CSV or JSON. This is explicitly outlined in the official documentation, which states that users must ''upload the training dataset to an OCI Object Storage bucket'' before creating a data asset for model training. Local storage (A) isn't viable for cloud processing, and databases like MySQL (B) or Autonomous Data Warehouse (C) aren't supported as primary inputs. Object Storage (D) provides the scalability and accessibility needed for multivariate anomaly detection workflows.

: Oracle Cloud Infrastructure Anomaly Detection Documentation, 'Preparing Training Data' section.

Answer : B

Detailed Answer in Step-by-Step Solution:

Objective: Identify a non-compliance document in OCI context.

Understand Compliance Docs: Formal attestations of adherence (e.g., SOC, ISO).

Evaluate Options:

A: Certificate---Proof of compliance (e.g., ISO)---compliance doc.

B: Pen test report---Security test result, not formal compliance---correct.

C: Attestation---Statement of compliance---compliance doc.

D: Bridge letter---Links audit periods---compliance doc.

Reasoning: B is operational, not a compliance artifact.

Conclusion: B is correct.

OCI documentation lists ''compliance documents like certificates (A), attestations (C), and bridge letters (D) for standards like SOC or ISO; penetration test reports (B) are security assessments, not formal compliance docs.'' Only B stands apart per OCI's compliance terminology.

: Oracle Cloud Infrastructure Compliance Documentation, 'Compliance Artifacts'.

Answer : D

Detailed Answer in Step-by-Step Solution:

Objective: Identify the function that measures the difference between predicted and actual values in machine learning.

Understand ML Functions:

Optimizer function: Adjusts model parameters to minimize error (e.g., gradient descent)---it uses the cost, not defines it.

Fit function: Trains the model by fitting it to data---process-oriented, not a measure.

Update function: Typically updates weights during training---not a standard term for error measurement.

Cost function: Quantifies prediction error (e.g., MSE, cross-entropy)---directly represents the difference.

Evaluate Options:

A: Optimizer minimizes the cost, not the cost itself---incorrect.

B: Fit executes training, not error definition---incorrect.

C: Update is vague and not a standard ML term for this---incorrect.

D: Cost function (e.g., loss) measures prediction vs. target---correct.

Reasoning: The cost function (or loss function) is the mathematical representation of error, guiding optimization.

Conclusion: D is the correct answer.

In OCI Data Science, the documentation explains: ''The cost function (or loss function) measures the difference between the model's predicted values and the actual target values, such as mean squared error for regression or cross-entropy for classification.'' Optimizers (A) use this to adjust weights, fit (B) is a training step, and update (C) isn't a defined function here---only the cost function (D) fits the description. This aligns with standard ML terminology and OCI's AutoML processes.

: Oracle Cloud Infrastructure Data Science Documentation, 'Machine Learning Concepts - Cost Functions'.

Answer : A

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'.