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Oracle Data Platform 2025 Foundations Associate Sample Questions (Q44-Q49):
NEW QUESTION # 44
Which two actions can be performed from the OCI Console for an Oracle Autonomous Database?
Answer: B,C
Explanation:
From the OCI Console for an "Oracle Autonomous Database," you can "Scale up/down CPU" (A) to adjust compute resources dynamically and "Increase Storage allocated for Database" (D) to expand capacity, both with no downtime. "Increase Network Bandwidth" (B) is not a console-adjustable parameter (managed by Oracle), and "Scale up/down Memory" (C) is not independently configurable (tied to CPU scaling). Oracle's documentation confirms CPU and storage scaling as user-controlled actions.
NEW QUESTION # 45
What self-service tools are available with the Autonomous Database?
Answer: C,D
Explanation:
The "Autonomous Database" offers self-service tools like "Oracle Machine Learning" (B), enabling users to build ML models directly in the database, and "Low-Code App Dev, APEX" (C), allowing rapid application development via Oracle APEX. "Business Objects" (A) is a third-party BI tool, not native to ADB, and "Encryption only in Object Storage" (D) is a feature, not a tool, and inaccurate (encryption is broader). Oracle's documentation highlights OML and APEX as key self-service capabilities.
NEW QUESTION # 46
Oracle Automated Machine Learning (AutoML) has options for using in-database and open-source algorithms. Which is an example of an in-database option?
Answer: C
Explanation:
An example of an in-database option in Oracle Automated Machine Learning (AutoML) is "Oracle Machine Learning for Python (OML4PY) APIs" (C). OML4Py enables Python-based machine learning directly within the database, leveraging in-database algorithms for performance and security. "REST Interface" (A) is an access method, "Cognitive text" (B) is a feature, not an algorithm type, and "Tuning of hyperparameter" (D) is a process, not a specific option. Oracle's documentation highlights OML4Py as a key in-database ML tool.
NEW QUESTION # 47
Oracle Data Lakehouse streamlines the integration, storage, and processing of dat a. Which two services are used for persistence of the data in Lakehouse?
Answer: A,B
Explanation:
In Oracle's Data Lakehouse architecture, data persistence refers to the storage layer where data is durably maintained. "Autonomous Database" (B) provides a managed, self-tuning relational database for structured data persistence, supporting SQL-based workloads. "OCI Object Storage" (D) offers scalable, durable storage for unstructured and semi-structured data, such as files, images, and logs, serving as the data lake component of the Lakehouse. "OCI Data Catalog" (A) is a metadata management service, not a persistence layer, and "OCI GoldenGate" (C) handles data replication and integration, not direct storage. Oracle's Lakehouse documentation identifies Autonomous Database and OCI Object Storage as the primary persistence services.
NEW QUESTION # 48
Which two statements are true when deciding which Oracle Cloud Infrastructure (OCI) region to register an Exadata Cloud@Customer infrastructure in?
Answer: B,D
Explanation:
When registering "Exadata Cloud@Customer" in an OCI region, you must "consider any business policies or regulations that preclude the use of a particular region" (A), as compliance (e.g., data residency laws) dictates region selection. You should also "consider the physical proximity of the region you register the infrastructure into your data center" (D), as proximity reduces latency for control plane interactions. Option B is false because, despite being hosted on-premises, Exadata Cloud@Customer is registered in an OCI region for management. Option C is incorrect, as the region cannot be changed post-creation without significant reconfiguration. Oracle's documentation highlights these considerations for region selection.
NEW QUESTION # 49
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