1z0-1093-25 Test Vce Free - 1z0-1093-25 Real Sheets
1z0-1093-25 Test Vce Free - 1z0-1093-25 Real Sheets
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This way you will be able to experience the actual Oracle Cloud Database Services 2025 Professional exam environment and become a more prepared and confident candidate to step into the examination center. You will know where exactly you stand before the actual Oracle 1z0-1093-25 Certification Exam. The actual Oracle 1z0-1093-25 exam questions will make you familiar with the inside-out view of the exam pattern and syllabus.
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Free PDF Quiz 2025 Oracle Valid 1z0-1093-25: Oracle Cloud Database Services 2025 Professional Test Vce Free
With three versions of products, our 1z0-1093-25 learning questions can satisfy different taste and preference of customers with different use: PDF & Software & APP versions. Without ambiguous points of questions make you confused, our 1z0-1093-25 practice materials can convey the essence of the content suitable for your exam. With our 1z0-1093-25 exam guide, you will achieve what you are expecting with ease.
Oracle Cloud Database Services 2025 Professional Sample Questions (Q83-Q88):
NEW QUESTION # 83
How does HeatWave address the challenges of Online Analytical Processing (OLAP) compared to traditional row-based database systems?
- A. HeatWave uses a specialized indexing technique to speed up data retrieval.
- B. HeatWave leverages AI-powered indexing to optimize the data retrieval.
- C. HeatWave automatically shards the database to distribute the workload across multiple nodes.
- 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 # 84
Which of the following is a proactive strategy to avoid encountering table rate limits in Oracle NoSQL Database Cloud Service?
- A. Consolidating all data into a single large table to simplify management.
- B. Disabling data encryption to reduce the overhead of read/write operations.
- C. Regularly increasing the table's storage capacity to accommodate future growth.
- D. Carefully designing the table schema and indexes to optimize query performance and minimize the number of read/write operations required.
Answer: D
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 # 85
Which is NOT a typical function provided by a NoSQL Database Cloud Service SDK related to data operations?
- A. Constructing requests to insert, update, or delete data records.
- B. Handling pagination of query results.
- C. Serializing and deserializing data between application objects and database records.
- D. Automatically optimizing query execution plans for best performance.
Answer: D
Explanation:
A: Automatically optimizing query execution plans for best performance.
Query Optimization:
* Query optimization is handled by the database engine itself, not the SDK.
* SDKs are primarily focused on providing an interface for data operations, not on internal query optimization.
Why the other options are typical SDK functions:
* B. Constructing requests:SDKs facilitate building and sending data manipulation requests.
* C. Serializing data:Converting data between application objects and database formats is a core SDK function.
* D. Handling pagination:SDKs often include utilities to manage large result sets.
NEW QUESTION # 86
Which two functionalities can be accomplished using the Performance Hub within Database Management for monitoring?
- A. Upgrade the database to a newer version.
- B. Execute ADDM (Automatic Database Diagnostic Monitor) analysis on a historical workload.
- C. Directly modify database initialization parameters.
- D. Identify blocking sessions that are impacting database performance.
Answer: B,D
Explanation:
A: Execute ADDM (Automatic Database Diagnostic Monitor) analysis on a historical workload:
* Performance Hub allows users to analyze performance data collected over time.
* ADDM analysis provides insights into performance bottlenecks and recommendations for tuning.
C: Identify blocking sessions that are impacting database performance:
* Performance Hub helps identify active blocking sessions, enabling quick resolution of performance issues.
* It provides real-time and historical data for better troubleshooting.
Why the other options are incorrect:
* B. Modify database parameters:Performance Hub does not have the ability to change database configurations directly.
* D. Upgrade the database:Upgrades are managed through other tools, such as Database Upgrade Assistant (DBUA).
NEW QUESTION # 87
When a new security patch is released for the Oracle Database software on a BaseDB VM system, what is the recommended approach for applying it in a production environment?
- A. Wait for Oracle Cloud Infrastructure to automatically apply the security patch to all BaseDB VM systems.
- B. Immediately apply the patch directly to the production database during off-peak hours to minimize potential security vulnerabilities.
- C. Apply the patch to a production standby database (if one exists) and then failover to the patched standby.
- D. Download the patch and apply it to a non-production environment that mirrors the production environment for testing before applying it to production.
Answer: D
Explanation:
B: Testing patches in a non-production environment:
* Critical to ensure that the patch does not introduce performance issues or compatibility problems.
* Best Practice:Apply the patch to astaging environmentthat mirrors production, validate stability, and then proceed to production.
* Minimizes the risk of unplanned downtime or disruptions.
Why the other options are incorrect:
* A. Immediate application in production:Risky as untested patches might cause outages.
* C. Automatic patching by OCI:OCI does not automatically apply database patches; the customer must manage this.
* D. Patching the standby and failing over:While a good strategy when applicable, it still requires prior testing.
NEW QUESTION # 88
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