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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	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 3	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 4	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 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 (Q27-Q32):

NEW QUESTION # 27
Which statement best describes the principle of least privilege as it applies to table security management in Oracle NoSQL Database Cloud Service?

A. Regularly backing up all tables and storing the backups in a publicly accessible location.
B. Granting all users full administrative access to all tables to simplify management.
C. Encrypting all tables with the highest level of encryption, regardless of the sensitivity of the data.
D. Granting users only the minimum set of permissions required to perform their assigned tasks on specific tables.

Answer: D

Explanation:
Principle of Least Privilege:
The principle of least privilege states that users should only be granted the minimum permissions necessary to perform their tasks. This reduces the risk of accidental or malicious actions that could compromise data integrity or security.
In the context ofOracle NoSQL Database Cloud Service, implementing this principle involves configuring Identity and Access Management (IAM) policiesto precisely define which users or groups can perform specific actions (such as read, write, delete) on particular tables. By limiting access, the system minimizes potential attack vectors and the impact of compromised accounts.
Why the other options are incorrect:
* A:Granting full administrative access violates the least privilege principle and increases security risks.
* C:Encryption is important, but it addresses data confidentiality, not access control.
* D:Backing up data is good practice, but storing backups in a publicly accessible location is insecure.

NEW QUESTION # 28
Which data formats are directly supported by the HeatWave Lakehouse feature for querying data in object storage?

A. Only XML files.
B. CSV, Parquet, and Avro files.
C. Only JSON files.
D. Only CSV (Comma Separated Values) files.
E. Only Parquet files.

Answer: B

Explanation:
C: CSV, Parquet, and Avro files:
* HeatWave Lakehousecan directly query data stored inOCI Object Storagewithout loading it into MySQL.
* Supports widely-used data formats:
* CSV (Comma Separated Values): Simple, text-based data format.
* Parquet: Columnar storage format optimized for analytical queries.
* Avro: Row-oriented format used for data serialization.
* This versatility allows integrating data from various sources and querying directly.
Why the other options are incorrect:
* A. Only CSV files:HeatWave supports more than just CSV.
* B. Only Parquet files:HeatWave also supports CSV and Avro.
* D. Only JSON files:JSON is not directly supported by HeatWave Lakehouse.
* E. Only XML files:XML is not directly supported.

NEW QUESTION # 29
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 a distributed caching mechanism to store frequently accessed data.
C. HeatWave leverages AI-powered indexing to optimize the data retrieval.
D. HeatWave automatically shards the database to distribute the workload across multiple nodes.
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 # 30
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 all "list status"
C. dcli -g dbnodes "list dbnodes"
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 metriccurrent:Produces 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 # 31
When migrating a MySQL instance to MySQL HeatWave, which method generally provides the MINIMAL downtime for large databases?

A. Creating a physical backup using MySQL Enterprise Backup and restoring it to the HeatWave instance.
B. Copying the data files directly from the source instance to the HeatWave instance.
C. Using mysqldump to create a logical backup and restoring it to the HeatWave instance.
D. Using a third-party ETL tool to extract, transform, and load the data into the HeatWave instance.
E. Utilizing MySQL replication to replicate data to the HeatWave instance and then performing a switchover.

Answer: E

Explanation:
Using MySQL Replication for Minimal Downtime:
Replication allows forreal-time synchronizationbetween the source MySQL instance and theHeatWave instance. Once the replication catches up, performing aswitchoverto the HeatWave instance ensures minimal disruption.
* This method is especially effective forlarge databases, as data is continuouslysynchronized during the migration process.
* The switchover itself incurs minimal downtime as the applications are redirected to the new instance.
Why the other options are incorrect:
* A:mysqldump and restore are time-consuming for large datasets.
* B:Physical backup and restore are faster than logical, but still involve significant downtime.
* D:Direct data file copying is risky and may cause data corruption.
* E:ETL processes are typically slow and prone to data consistency issues.

NEW QUESTION # 32
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