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NEW QUESTION # 93
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?
Answer: E
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 # 94
Which of the following components is responsible for automatically offloading suitable queries from MySQL to the HeatWave accelerator?
Answer: A
Explanation:
A: MySQL Query Optimizer:
* TheMySQL Query Optimizerdetermines whether a query can benefit from HeatWave's in-memory, columnar processing.
* If a query is deemed suitable, it is automatically offloaded to the HeatWave cluster.
* This process significantly improves the execution speed of complex analytical queries.
Why the other options are incorrect:
* B. HeatWave AutoPilot:Manages workload optimization but does not directly offload queries.
* C. MySQL Router:Manages connection routing, not query offloading.
* D. MySQL Shell:Primarily used for administrative tasks, not query optimization.
* E. OCI Load Balancer:Manages network traffic distribution, unrelated to database query processing.
NEW QUESTION # 95
When using a NoSQL Database Cloud Service SDK, what is the purpose of handling exceptions or errors returned by the SDK?
Answer: C
Explanation:
Exception Handling in SDKs:
When developing applications using theOracle NoSQL Database Cloud Service SDK, it is essential to implementerror handling logic. This typically includes managing cases like:
* Record Not Found:Handling situations where a queried record does not exist.
* Insufficient Capacity:Managing requests when throughput limits are exceeded.
* Network Failures:Retrying operations or providing fallback mechanisms.The goal is to buildrobust and resilient applicationsthat gracefully handle unexpected conditions.
Why the other options are incorrect:
* A:Cloud infrastructure handles hardware recovery, not the SDK.
* B:While retrying may ensure consistency, it is the developer's responsibility to implement it.
* C:Performance metrics are gathered via monitoring tools, not exception handling.
NEW QUESTION # 96
Before migrating to MySQL HeatWave, what is the MOST important action to take regarding user accounts and privileges?
Answer: D
Explanation:
B: Ensure all user accounts and privileges are compatible with MySQL 8.0:
* MySQL HeatWaveis based onMySQL 8.0, so compatibility is crucial.
* User accounts and privileges must be updated to match the security and syntax requirements of MySQL
8.0.
* If any incompatibility is detected, the accounts should be recreated on the target HeatWave instance.
* Typical issues include changes inpassword hashing algorithms,privilege structure, androle management.
Why the other options are incorrect:
* A. Resetting passwords to default:Risky from a security perspective and unnecessary.
* C. Deleting user accounts except root:This drastically limits access and disrupts database operations.
* D. External authentication (LDAP):Not mandatory or relevant to compatibility with HeatWave.
* E. Merging accounts into a single 'admin':Violates best practices for user management and security.
NEW QUESTION # 97
How does the HeatWave Lakehouse capability extend the analytical capabilities of MySQL HeatWave?
Answer: B
Explanation:
B: Querying data directly from object storage without data loading:
* HeatWave Lakehouse extends MySQL HeatWave by allowing direct query execution on data stored in external object storage.
* Supports formats such asCSV,Parquet, andAvro.
* Eliminates the need for data import, making the process faster and more efficient for large datasets.
* Enhances HeatWave's capability to act as aLakehouseby unifying data warehousing and data lake functionalities.
Why the other options are incorrect:
* A. GUI for database management:Not related to analytical extension.
* C. Disaster recovery replication:Not related to Lakehouse functionality.
* D. Built-in ETL tool:Lakehouse focuses on query capability, not ETL.
* E. Separate data warehouse:HeatWave Lakehouse queries data in-place, not creating a separate warehouse.
NEW QUESTION # 98
......
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