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Oracle 1z0-1093-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Exadata Database Service (ExaDB): This section of the exam measures the skills of a Database Infrastructure Engineer and focuses on the advanced Exadata Database Service. It includes the provisioning of Exadata systems, management of Exadata Cloud Infrastructure, and VM Cluster administration. It also evaluates knowledge of lifecycle management tasks and how to interact with various Exadata management utilities and interfaces.

Topic 2

Oracle Cloud Infrastructure Database Management Service: This section of the exam measures the skills of a Cloud Operations Analyst and provides insight into Oracle’s Database Management Service on OCI. It focuses on enabling the service for databases, monitoring their performance, and performing diagnostic and tuning activities. It also covers tasks related to the administration of databases running on Oracle Cloud Infrastructure.

Topic 3

MySQL HeatWave Technical Overview: This section of the exam measures the skills of a MySQL Cloud Specialist and introduces MySQL HeatWave, Oracle’s high-performance analytics engine for MySQL. It includes provisioning, migrating existing MySQL databases to HeatWave, and working with its analytical and machine-learning capabilities. It also covers day-to-day operational activities within the MySQL HeatWave environment.

Topic 4

NoSQL Database Service Technical Overview: This section of the exam measures the skills of a NoSQL Developer and explores Oracle’s NoSQL Database Service. It includes understanding the basics of NoSQL architecture, handling table-level security, rate limiting, and data modeling. It also covers concepts like provisioned throughput and the usage of language SDKs for interacting with NoSQL services on Oracle Cloud.

Topic 5

Base Database Service - VM (BaseDB): This section of the exam measures the skills of a Cloud Database Administrator and covers the foundational elements of Oracle’s Base Database Service. It includes understanding what the BaseDB service is, how to provision and manage it, and lifecycle operations such as backups, recovery, patching, and upgrades. It also tests familiarity with monitoring and management interfaces used to control and observe the BaseDB environment.

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Oracle Cloud Database Services 2025 Professional Sample Questions (Q26-Q31):

NEW QUESTION # 26
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 Service Connector Hub
C. OCI Notifications
D. OCI Streaming
E. OCI Monitoring with HeatWave specific metrics

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 # 27
How does HeatWave address the challenges of Online Analytical Processing (OLAP) compared to traditional row-based database systems?

A. HeatWave leverages AI-powered indexing to optimize the data retrieval.
B. HeatWave leverages a distributed caching mechanism to store frequently accessed data.
C. HeatWave automatically shards the database to distribute the workload across multiple nodes.
D. HeatWave uses a specialized indexing technique to speed up data retrieval.
E. HeatWave employs a columnar data format in memory, enabling faster scans and aggregations for complex queries.

Answer: E

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 # 28
Which two statements are accurate regarding the placement of VM Clusters within an Exadata Cloud Infrastructure?

A. VM Clusters can span multiple Exadata Cloud Infrastructures, providing a single, unified database environment.
B. VM Clusters within the same Exadata Infrastructure can share a single VCN, simplifying network management.
C. Each VM Cluster must be associated with its own dedicated VCN, isolating network traffic between clusters.
D. Only one VM Cluster can exist within an Exadata Cloud Infrastructure.
E. Multiple VM Clusters can be created within a single Exadata Cloud Infrastructure, allowing for workload isolation.

Answer: B,E

Explanation:
B: Multiple VM Clusters within a single Exadata Infrastructure:
* Multiple clusters can coexist, each isolated for specific workloads.
* Supports resource optimization and isolation.
E: Sharing a single VCN:
* VM Clusters within the same Exadata Infrastructure can be configured to use the same Virtual Cloud Network (VCN), streamlining network management.
Why the other options are incorrect:
* A. Only one VM Cluster:Incorrect as multiple clusters are supported.
* C. Spanning multiple infrastructures:VM Clusters do not span Exadata Infrastructures; they are confined to a single infrastructure.
* D. Dedicated VCN for each cluster:Unnecessary, as clusters can share a VCN.

NEW QUESTION # 29
When cloning a BaseDB database for development and testing, which of the following considerations is MOST critical to ensure compliance with data privacy regulations?

A. Scheduling the cloning operation during off-peak hours.
B. Masking or anonymizing sensitive data in the cloned database.
C. Ensuring the compute shape of the cloned database is identical to the production database.
D. Maintaining the same network security group (NSG) rules as the production database.
E. Using the same database version as the production database.

Answer: B

Explanation:
B: Masking or anonymizing sensitive data:
* Data privacy regulations (likeGDPR,HIPAA) mandate thatpersonally identifiable information (PII) is protected, even in non-production environments.
* Cloning a database without masking sensitive data could expose confidential information to unauthorized users.
* Techniques include:
* Data masking:Replacing real data with realistic, but non-sensitive values.
* Data anonymization:Irreversibly removing personally identifiable information.
Why the other options are incorrect:
* A. Matching compute shape:Relevant to performance, not privacy.
* C. Using the same database version:Important for compatibility, but not related to data privacy.
* D. Same NSG rules:Important for network security, but does not directly address data exposure.
* E. Off-peak scheduling:Minimizes disruption but does not address data protection.

NEW QUESTION # 30
Which statement accurately describes the function of the HeatWave service in relation to a standard MySQL database?

A. HeatWave acts as a caching layer in front of MySQL, speeding up access to frequently accessed data.
B. HeatWave is a clustering solution, where a single MySQL instance is split into multiple parts.
C. HeatWave is a specialized version of MySQL designed solely for transactional workloads, optimized for high concurrency.
D. HeatWave provides an in-memory, massively parallel query accelerator to MySQL, improving analytical query performance.
E. HeatWave is a standalone database system that replaces MySQL, offering enhanced security features.

Answer: D

Explanation:
HeatWave as a Query Accelerator:
HeatWave enhances theMySQL Database Serviceby providing anin-memory, massively parallel query accelerator. It is specifically designed to speed upanalytical (OLAP) queries, making them run significantly faster compared to using MySQL alone.
* The system stores data in acolumnar formatand processes it in memory, utilizingdistributed, parallel processingto achieve high performance.
* Unlike traditional MySQL setups, HeatWave canexecute complex analytical workloadsefficiently.
Why the other options are incorrect:
* A:HeatWave is not a standalone database but an extension of MySQL.
* C:It is optimized foranalytical workloads, not transactional.
* D:It is more than just a caching layer; it actively processes queries.
* E:HeatWave clusters do not split MySQL instances but enhance query processing.

NEW QUESTION # 31
......

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Steve Gray Steve Gray

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