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Oracle Cloud Database Services 2025 Professional Sample Questions (Q39-Q44):
NEW QUESTION # 39
How does HeatWave address the challenges of Online Analytical Processing (OLAP) compared to traditional row-based database systems?
- A. HeatWave automatically shards the database to distribute the workload across multiple nodes.
- B. HeatWave leverages AI-powered indexing to optimize the data retrieval.
- C. HeatWave uses a specialized indexing technique to speed up data retrieval.
- D. HeatWave employs a columnar data format in memory, enabling faster scans and aggregations for complex queries.
- E. HeatWave leverages a distributed caching mechanism to store frequently accessed data.
Answer: D
Explanation:
HeatWave's Columnar Processing:
HeatWave improves OLAP performance by storing data in acolumnar formatin memory. This format is particularly efficient foranalytical queriesbecause:
* It minimizes the amount of data read by only scanning thenecessary columns.
* Columnar storage supportsvectorized processing, which significantly speeds up aggregation operations.
* Beingin-memory, it eliminates disk I/O bottlenecks, crucial for high-speed analytics.
Why the other options are incorrect:
* A:Indexing is useful, but columnar storage is the primary driver of speed.
* C:Caching improves access times but does not address the fundamental OLAP challenge of processing large datasets.
* D:HeatWave distributes workload usingparallel processing, not simple sharding.
* E:AI-powered indexing is not a core feature of HeatWave.
NEW QUESTION # 40
Which two statements accurately describe the relationship between Database Management and metrics collected in OCI Monitoring service?
- A. Database Management's data collection is completely independent of the OCI Monitoring service.
- B. Database Management retrieves performance data exclusively from the OCI Monitoring service and does not directly query the database.
- C. Database Management directly queries the database for detailed performance data and supplements it with metrics from the OCI Monitoring service.
- D. Database Management relies on custom metrics uploaded to OCI Monitoring by the user in order to provide its monitoring features.
Answer: A,C
Explanation:
B:Database Management directly queries the database to gather performance data, such as SQL performance and active session history. It also integrates with OCI Monitoring for infrastructure-level metrics like CPU, memory, and storage utilization.
C:Database Management can function independently of OCI Monitoring since it has its own data collection mechanisms.
Why the other options are incorrect:
* A:Database Management does not rely solely on OCI Monitoring.
* D:It does not require custom metrics from the user.
NEW QUESTION # 41
Which of the following is a proactive strategy to avoid encountering table rate limits in Oracle NoSQL Database Cloud Service?
- A. Regularly increasing the table's storage capacity to accommodate future growth.
- B. Consolidating all data into a single large table to simplify management.
- C. Carefully designing the table schema and indexes to optimize query performance and minimize the number of read/write operations required.
- D. Disabling data encryption to reduce the overhead of read/write operations.
Answer: C
Explanation:
B: Optimizing schema and indexes:
* Efficient schema design reduces the number of read/write operations.
* Proper indexing reduces the need to scan large data volumes, minimizing the number of read capacity units (RCUs) consumed.
* This proactive approach helps stay within the provisioned rate limits, avoiding throttling.
Why the other options are incorrect:
* A. Increasing storage capacity:Does not address the rate of operations, only storage volume.
* C. Disabling encryption:Unwise due to security risks and does not significantly impact rate limits.
* D. Consolidating data into one table:Likely increases the rate of operations, worsening the problem.
NEW QUESTION # 42
You need to monitor the data loading process into your HeatWave cluster to ensure optimal performance.
Which OCI service provides the most detailed information on data loading operations and potential bottlenecks?
- A. OCI Functions
- B. OCI Notifications
- C. OCI Monitoring with HeatWave specific metrics
- D. OCI Service Connector Hub
- E. OCI Streaming
Answer: C
Explanation:
C: OCI Monitoring with HeatWave specific metrics:
* OCI Monitoring collects and visualizes detailed metrics related to HeatWave cluster operations.
* Key metrics include:
* Data load throughput
* Data load latency
* Memory and CPU utilization
* These metrics help identify bottlenecks during data loading, allowing for proactive performance tuning.
* Integrates withOCI Alarmsto notify administrators when thresholds are breached.
Why the other options are incorrect:
* A. OCI Notifications:Sends alerts but does not collect performance metrics.
* B. OCI Service Connector Hub:Moves data between services but does not provide direct performance insights.
* D. OCI Streaming:Used for real-time data ingestion, not specifically for HeatWave monitoring.
* E. OCI Functions:Executes serverless functions, not related to HeatWave metrics.
NEW QUESTION # 43
Which aspect of NoSQL Database Cloud Service is LEAST impacted by the choice of SDK used in an application?
- A. Syntax for querying data.
- B. Underlying database architecture and scalability characteristics.
- C. Method for authenticating with the service.
- D. Error handling mechanisms.
Answer: B
Explanation:
C: Underlying database architecture and scalability characteristics:
* Thearchitecture and scalabilityof Oracle NoSQL Database Cloud Service are inherent to the platform and do not change based on the SDK.
* SDKs are designed to providelanguage-specific interfacesfor data interaction but do not alter the core architecture.
* Whether using Java, Python, or another SDK, the database'ssharding, replication, and consistency characteristics remain constant.
Why the other options are impacted:
* A. Query syntax:SDKs may offer different syntax or query formats.
* B. Authentication method:Varies between SDKs, e.g., API keys vs. IAM tokens.
* D. Error handling:Each SDK may implement error handling differently, influencing how exceptions are processed.
NEW QUESTION # 44
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