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[General] Useful Dumps 1z0-1093-25 Reviews & Passing 1z0-1093-25 Exam is No More a Cha

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【General】 Useful Dumps 1z0-1093-25 Reviews & Passing 1z0-1093-25 Exam is No More a Cha

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Oracle 1z0-1093-25 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 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
  • 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.

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Oracle Cloud Database Services 2025 Professional Sample Questions (Q94-Q99):NEW QUESTION # 94
Oracle NoSQL Database Cloud Service's key-value model is well-suited for certain types of applications.
Which of the following application scenarios would most directly benefit from the key-value data model's characteristics?
  • A. An application requiring complex analytical queries and joins across multiple related datasets.
  • B. A financial system requiring strict transactional integrity and complex relationships between accounts and transactions.
  • C. A content management system needing to enforce a rigid schema for all documents and their metadata.
  • D. An enterprise resource planning (ERP) system managing intricate relationships between various business entities.
  • E. A social media platform needing to store and retrieve individual user profiles and their associated data quickly.
Answer: E
Explanation:
B: Social Media Platform:
* Social media applications require quick retrieval of user profiles based on unique IDs.
* The key-value model supports fast lookups and simple data associations, ideal for user-centric data.
* The flexibility of storing user attributes in a single document enhances performance and scalability.
Why the other options are incorrect:
* A. Complex analytical queries:Relational or analytical databases are better suited.
* C. Financial systems:Require ACID compliance and complex joins, not suitable for key-value models.
* D. Content management:Typically requires a more structured approach, better handled by document databases.
* E. ERP systems:Need relational integrity and complex schema support.

NEW QUESTION # 95
What is the primary processing paradigm employed by the HeatWave query accelerator for analytical workloads?
  • A. Columnar processing
  • B. Key-value pair processing
  • C. Disk-based processing
  • D. Row-based processing
  • E. Index-based processing
Answer: A
Explanation:
HeatWave's Processing Model:
HeatWave usescolumnar in-memory processingto optimize analytical workloads. Storing data in columns rather than rows allows HeatWave toprocess large datasets efficiently, reducing the volume of data scanned and improving query performance. This is crucial for OLAP operations that involveaggregating and analyzing data.
Why the other options are incorrect:
* A:Row-based processing is typical for OLTP workloads, not analytical.
* B:HeatWave operates primarily in memory, not disk.
* D:Indexing enhances performance but is not the primary processing paradigm.
* E:Key-value processing is typical in NoSQL databases, not analytical systems.

NEW QUESTION # 96
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 automatically shards the database to distribute the workload across multiple nodes.
  • C. HeatWave employs a columnar data format in memory, enabling faster scans and aggregations for complex queries.
  • D. HeatWave leverages AI-powered indexing to optimize the data retrieval.
  • E. HeatWave leverages a distributed caching mechanism to store frequently accessed data.
Answer: C
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 # 97
You are tasked with checking the status of the Exadata Database Service (ExaDB) components using the dcli utility. You need to gather information about the health and status of the database servers and storage cells across the ExaDB infrastructure. Which dcli command, combined with appropriate commands run across the nodes, will provide the most comprehensive overview?
  • A. dcli -g cell_group "list cell attributes name, status, metriccurrent"
  • B. dcli -g dbnodes "list dbnodes"
  • C. dcli -g all "list status"
  • D. dcli -g cell_group "list cell attributes name, status" combined with dcli -g dbnodes "srvctl status database -d dbname"
Answer: D
Explanation:
A: dcli -g cell_group "list cell attributes name, status" combined with dcli -g dbnodes "srvctl status database -d dbname" dcli Utility:
* dcli(Distributed Command Line Interface) allows you to run commands on multiple nodes simultaneously.
* cell_group: A group configuration file listing all storage cells.
* dbnodes: A group configuration file listing all database nodes.
Commands Explanation:
* dcli -g cell_group "list cell attributes name, status":
* Retrieves the name and current status of each storage cell.
* dcli -g dbnodes "srvctl status database -d dbname":
* Checks the status of the database instances on the compute nodes.
* Combining these commands provides a complete picture of both storage and compute components.
Why the other options are incorrect:
* B. Including metriccurrentroduces excessive output, not suitable for a quick health check.
* C. Listing dbnodes only:Insufficient as it lacks storage cell status.
* D. dcli -g all "list status":Invalid syntax and lacks specificity.

NEW QUESTION # 98
Which statement accurately describes the function of the HeatWave service in relation to a standard MySQL database?
  • A. HeatWave is a specialized version of MySQL designed solely for transactional workloads, optimized for high concurrency.
  • B. HeatWave is a clustering solution, where a single MySQL instance is split into multiple parts.
  • C. HeatWave provides an in-memory, massively parallel query accelerator to MySQL, improving analytical query performance.
  • D. HeatWave acts as a caching layer in front of MySQL, speeding up access to frequently accessed data.
  • E. HeatWave is a standalone database system that replaces MySQL, offering enhanced security features.
Answer: C
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 # 99
......
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