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Exam 1z0-1093-25 Quiz - Oracle 1z0-1093-25 First-grade Exam Questions Fee

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Oracle 1z0-1093-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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

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

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 (Q44-Q49):

NEW QUESTION # 44
What is the primary processing paradigm employed by the HeatWave query accelerator for analytical workloads?

A. Disk-based processing
B. Key-value pair processing
C. Index-based processing
D. Columnar processing
E. Row-based processing

Answer: D

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 # 45
Which characteristic is MOST indicative of an Oracle Cloud Infrastructure (OCI) Base Database Service (BaseDB) virtual machine (VM) deployment compared to using Autonomous Database?

A. Automated patching and upgrades handled by Oracle.
B. Automatic scaling of compute and storage resources based on workload demands.
C. Shared Exadata infrastructure with other tenants for cost optimization.
D. Direct control over the operating system and database configuration.

Answer: D

Explanation:
Direct Control in BaseDB VM:
In aBaseDB VM deployment, users haveroot-level access to the operating systemand can directly manage the database configuration. This contrasts withAutonomous Database, where Oracle handles most administrative tasks, including patching and resource scaling.
* BaseDB VM offersflexibility for custom configurationsand control overOS-level operations.
* This is particularly useful for environments requiringcustom scripts, configurations, or database tuning.
Why the other options are incorrect:
* A:Autonomous Database features automatic patching, not BaseDB VM.
* B:Exadata infrastructure is typically associated withAutonomous Databaserather than VM-based BaseDB.
* D:Automatic scaling is a feature of Autonomous Database, not BaseDB.

NEW QUESTION # 46
You are tasked with monitoring the I/O performance of an Exadata Database Service (ExaDB) using the exadcli utility. You need to retrieve detailed statistics on Smart Flash Cache usage, including read and write operations, at the storage cell level. Which exadcli command will provide the most comprehensive information?

A. exadcli list metriccurrent -cell -metricname "IOPS,MBPS"
B. exadcli list metrichistory -cell -metricname "flashcache_read_iops,flashcache_write_iops"
C. exadcli list metriccurrent -cell -metricname "cell.*"
D. exadcli list metricdetail -cell -metricname "flashcache.*"

Answer: D

Explanation:
Detailed Flash Cache Monitoring:
The commandexadcli list metricdetail -cell -metricname "flashcache.*"provides acomprehensive overviewof all metrics related toSmart Flash Cache. This includes bothread and write operations, hit ratios, and IOPS statistics.
* Themetricdetailoption retrieves in-depth data, crucial for performance troubleshooting.
* Theflashcache.*wildcard captures all relevant metrics associated with the Flash Cache subsystem.
Why the other options are incorrect:
* A:Limited to current IOPS and throughput, not specifically flash cache.
* C:Too broad, as it includes general cell metrics.
* D:Focuses only on historical read/write IOPS, not comprehensive.

NEW QUESTION # 47
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. A write-heavy workload typically necessitates more write capacity units than a read-heavy workload.
C. Higher query complexity generally requires higher read throughput.
D. Increased frequency of table scans reduces the throughput needed.

Answer: D

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 # 48
Which of the following DOES NOT directly contribute to the calculation of provisioned read capacity units (RCUs) required for a NoSQL Database Cloud Service table?

A. Data consistency requirements.
B. Complexity of the security roles defined on the table.
C. Average record size being read.
D. Number of reads expected per second.

Answer: B

Explanation:
RCU Calculation:
Read Capacity Units (RCUs) are determined based ondata size (average record size), read frequency (number of reads per second), and consistency level (eventual vs. strong consistency). Complex security roles do not impact the calculation because they do not directly influence the amount of data read or the frequency of access.
Why the other options are correct:
* A:Larger record sizes increase RCU requirements.
* B:Higher read frequency demands more RCUs.
* D:Strong consistency requires more read operations compared to eventual consistency.

NEW QUESTION # 49
......

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