You have been given a collection of digital files required for a business audit. They consist of several different formats that you would like to annotate using Oracle Cloud Infrastructure (OCI) Data Labeling. Which THREE types of files could this tool annotate?
Explanation: Detailed Answer in Step -by-Step Solution: Analyze OCI Open Data: OCI Open Data is a free service providing access to public datasets for AI/ML use cases. Evaluate Statements: A: True —Open Data includes text and image datasets (e.g., geospatial images). B: False —Video and other formats may be available depending on the dataset; no strict exclusion exists. C: False —Datasets may include metadata, but code/tooling examples aren’t guaranteed. D: True —It’s designed for data scientists and analysts who work with datasets. E: False —It’s not a user-contributed repository; it’s curated by Oracle. F: False —Open Data is free and public, not subscription -based. Select Two: A and D align with the service’s purpose and offerings. OCI Open Data provides access to datasets like text and images (A) for AI/ML, aimed at data professionals (D). It’s a free, curated service, not user-contributed (E) or paid (F), and while it focuses on certain formats, it doesn’t explicitly exclude audio/video (B). (Reference: Oracle Cloud Infrastructure Open Data Documentation, "Overview of Open Data"). You are running a pipeline in the OCI Data Science service and want to override some of the pipeline's default settings. Which of the following statements about overriding pipeline defaults is true?
(Reference: Oracle Cloud Infrastructure Data Science Pipelines Documentation, "Configuring Pipelines"). How are datasets exported in the OCI Data Labeling service?
accuracy (e.g., using metrics like MAE or RMSE). Save: Store the trained model (e.g., in the OCI Model Catalog). Deploy: Make the model available for predictions (e.g., via OCI Model Deployment). Predict: Generate revenue forecasts for the upcoming quarter. Evaluate Options: D follows this logical flow; others (e.g., A starts with “verify” before preparation) don’t. In OCI Data Science, the workflow for time series forecasting involves preparing the model (training), verifying its performance, saving it to the catalog, deploying it, and then predicting. This sequence is standard for ML deployment in OCI, as per the documentation. (Reference: Oracle Cloud Infrastructure Data Science Documentation, "Time Series Forecasting Workflow"). 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?
C. Manage D. Read Explanation: Detailed Answer in Step -by-Step Solution: Understand OCI IAM Policies: Policies control access using verbs like “inspect,” “read,” “use,” and “manage.” Define Requirement: Consultants need view -only access without modification rights. Evaluate Verbs: A . Use: Allows interaction (e.g., running jobs) —too permissive. B . Inspect: Grants view -only access to resource details —matches requirement. C . Manage: Full control (create, update, delete) —too permissive. D . Read: Includes viewing content (e.g., data), not just metadata —slightly broader than needed. Conclusion: “Inspect” (B) is the precise verb for view -only access to resource details. In OCI Identity and Access Management (IAM), the “inspect” verb allows listing and viewing resource metadata without granting modification or data access rights, ideal for this scenario. This is confirmed in the IAM policy reference. (Reference: Oracle Cloud Infrastructure Documentation, "IAM Policy Verbs"). You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which TWO of the following prevailing metrics would you use for evaluating a multiclass classification model?
➢ TOTAL QUESTIONS: 308 A bike sharing platform has collected user commute data for the past 3 years. For increasing profitability and making useful inferences, a machine learning model needs to be built from the accumulated data. Which of the following options has the correct order of the required machine learning tasks for building a model?
