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Oracle 1z0-1093-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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

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 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 (Q57-Q62):

NEW QUESTION # 57
Which two actions can be performed using the Automatic Database Diagnostic Monitor (ADDM) within Database Management to diagnose cloud database performance?

A. Identify root causes of performance bottlenecks, such as excessive I/O or CPU contention.
B. Automatically apply all ADDM recommendations to the database.
C. Automatically create indexes to improve query performance.
D. Generate recommendations for SQL plan baselines.

Answer: A,D

Explanation:
A: Generate recommendations for SQL plan baselines:
* ADDM analyzes historical data andSQL execution plans, suggesting baseline adjustments to optimize performance.
* Recommendations may includeusing an existing baselineor creating a new one.
C: Identify performance bottlenecks:
* ADDM pinpoints issues related to:
* I/O contention
* CPU utilization
* Memory bottlenecks
* Locking issues
* Helps DBAs understand which database components are causing slowdowns.
Why the other options are incorrect:
* B. Automatically applying recommendations:ADDM only suggests actions; DBAs must manually review and implement them.
* D. Creating indexes:ADDM does not create indexes automatically; it may suggest them, but implementation requires DBA action.

NEW QUESTION # 58
Which statement accurately describes the patching process for Oracle Grid Infrastructure (GI) and ASM components on a BaseDB VM system when using user-managed patching?

A. The DBA must manually download the GI and ASM patch bundles and apply them using the appropriate patching tools.
B. Patching GI and ASM components is only required when the operating system of the VM is upgraded.
C. GI and ASM patching is integrated with the database patching process and is automatically handled when the database is patched.
D. GI and ASM patching is fully automated by Oracle Cloud Infrastructure and requires no user intervention.

Answer: A

Explanation:
B: Manual patching for GI and ASM:
* In auser-managed environment, the DBA is responsible for downloading and applying patches for Grid Infrastructure (GI)andAutomatic Storage Management (ASM).
* These patches are distinct fromdatabase patchesand need to be applied using tools likeopatchorOracle Universal Installer (OUI).
* The process involves:
* Downloading the patch from Oracle Support.
* Staging the patch on the server.
* Applying the patch using the appropriate commands.
Why the other options are incorrect:
* A. Fully automated by OCI:OCI does not automatically patch GI and ASM in user-managed environments.
* C. Integrated with database patching:GI and ASM patching is handled separately.
* D. Required only during OS upgrade:Incorrect, as patching is required independently for security and stability.

NEW QUESTION # 59
Which statement is FALSE regarding the relationship between provisioned throughput and workload characteristics in NoSQL Database Cloud Service?

A. Larger average record sizes usually demand higher read and write capacity units.
B. Increased frequency of table scans reduces the throughput needed.
C. Higher query complexity generally requires higher read throughput.
D. A write-heavy workload typically necessitates more write capacity units than a read-heavy workload.

Answer: B

Explanation:
Understanding Throughput in NoSQL:
Throughput in NoSQL databases is influenced by factors likequery complexity, workload type (read/write), and record size.
* Higher query complexity (A):Complex queries involving aggregation or joins consume more read capacity.
* Write-heavy workload (B):Writes inherently require more capacity units due to data modification and consistency checks.
* Larger record sizes (D):More data per operation increases the read/write capacity needed.
Why C is incorrect:
* C:Table scans involve reading large volumes of data, which increases throughput requirements rather than reducing them. Frequent table scans can overwhelm the system, especially with large datasets.

NEW QUESTION # 60
Which statement accurately describes the inherent trade-offs often associated with choosing a NoSQL database over a traditional relational database?

A. NoSQL databases provide simplified querying capabilities using standard SQL, enhancing developer productivity and reducing the learning curve.
B. NoSQL databases offer superior data integrity and reduced operational overhead compared to relational databases, making them ideal for transactional systems.
C. NoSQL databases typically sacrifice strict data consistency (ACID) to gain horizontal scalability and higher availability.
D. NoSQL databases universally guarantee stronger data consistency than relational databases, but at the expense of increased operational complexity.

Answer: C

Explanation:
Trade-offs with NoSQL Databases:
NoSQL databases are designed toscale horizontallyby adding more nodes rather than scaling vertically by increasing hardware capacity. To achieve this scalability andhigh availability, NoSQL systems often adopt theBASE model(Basically Available, Soft state, Eventually consistent) rather than the strictACID model (Atomicity, Consistency, Isolation, Durability) typical of relational databases.
* This means thatdata consistencymay be relaxed (eventual consistency) to allow faster reads and writes.
* These characteristics make NoSQL suitable forlarge-scale, distributed systemsbut less ideal for applications requiringimmediate consistency, such as banking systems.
Why the other options are incorrect:
* A:NoSQL does not guarantee stronger consistency than relational databases.
* C:NoSQL typically does not offer superior data integrity for transactional workloads.
* D:SQL-based querying is usually not available in NoSQL, as they often have their own query mechanisms.

NEW QUESTION # 61
Which data formats are directly supported by the HeatWave Lakehouse feature for querying data in object storage?

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

Answer: A

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 # 62
......

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