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Oracle 1Z0-1093-23 Exam Syllabus Topics:

Topic
Details

Topic 1

Explain connecting to the NoSQL Database Cloud service
Install and configure Management Agent

Topic 2

Describe Oracle Cloud Platform for Database in the Cloud
Provision Database Cloud Service on a Virtual Machine DB System

Topic 3

Manage the Exadata Database Lifecycle
Describe the Oracle Cloud Infrastructure Database Management Service

Topic 4

Utilize Database Cloud Service Management Interfaces
Discuss Database Cloud Services (Overview)

Topic 5

Describe Oracle Cloud Infrastructure Strategy (OCI)
Manage Database Cloud Service on a Virtual Machine DB System

Topic 6

Utilize Exadata Cloud Management tools
Manage Exadata Infrastructure and VM Clusters

Topic 7

Explain table security management
Register External Databases & enable and use Database Management

Oracle Base Database Services 2023 Professional Sample Questions (Q10-Q15):

NEW QUESTION # 10
Which two steps must be taken before installing a management agent for the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)

A. Confirm the OS and networking requirements.
B. Create or copy an Agent OCID.
C. Patch the database to be managed.
D. Create or copy an Agent Install Key.
E. Install TLS 1.3 on the database system.

Answer: D,E

NEW QUESTION # 11
What is the NoSQLHandle interface NOT used for?

A. to gets rows from a table
B. to set the row retention time
C. to access multiple tables
D. to get dynamic information on a table

Answer: C

NEW QUESTION # 12
Which two statements are true regarding MySQL Database Service HeatWave? (Choose two.)

A. HeatWave uses periodic long-running ETL batch jobs to refresh data
B. HeatWave is an in-memory, query-processing engine designed for fast execution of analytic queries.
C. HeatWave uses machine learning to automate operations, increase DBA productivity, and reduce costs.
D. The HeatWave data that is needed for analytic processing is stored in disk files.

Answer: B,C

Explanation:
Regarding MySQL Database Service HeatWave, the following two statements are true:
* HeatWave uses machine learning to automate operations, increase DBA productivity, and reduce costs. HeatWave has several features that leverage machine learning to optimize the performance and efficiency of the service, such as12:
* HeatWave AutoML: This feature enables users to build, train, deploy, and explain machine learning models in MySQL HeatWave without moving data to a separate machine learning service. Users can use SQL statements to perform data preparation, feature engineering, model selection, hyperparameter tuning, and model evaluation3.
* HeatWave Autopilot: This feature automatically scales the HeatWave cluster size, distributes data across nodes, and tunes query execution plans based on the workload characteristics and performance objectives. Users can specify the desired performance level and let HeatWave Autopilot handle the rest4.
* HeatWave Advisor: This feature provides recommendations and best practices for improving the performance and efficiency of HeatWave. Users can view the HeatWave Advisor dashboard to see the current status, alerts, and actions for their HeatWave cluster5.
* HeatWave is an in-memory, query-processing engine designed for fast execution of analytic queries.
HeatWave is a massively parallel, distributed system that runs analytic queries in memory, using columnar data formats, vectorized execution, and adaptive algorithms. HeatWave can accelerate MySQL performance by orders of magnitude for analytics workloads, mixed workloads, and machine learning.
B is incorrect, because HeatWave does not use periodic long-running ETL batch jobs to refresh data, but a novel technique called dual-format storage. HeatWave stores data in both row and column formats, and synchronizes the data between the two formats in real time. This eliminates the need for ETL processes and enables fast execution of both transactional and analytic queries on the same data.
D is incorrect, because the HeatWave data that is needed for analytic processing is not stored in disk files, but in memory. HeatWave uses sparse files to store the columnar data in memory, which are compressed and encrypted. HeatWave also supports querying data in object storage, such as Oracle Cloud Infrastructure Object Storage or Amazon S3, using the HeatWave Lakehouse feature.
References: 1: MySQL HeatWave Database Service | Oracle 2: HeatWave | Oracle 3: MySQL HeatWave User Guide :: 10 Machine Learning in MySQL HeatWave 4: MySQL HeatWave User Guide :: 9 HeatWave Autopilot 5: MySQL HeatWave User Guide :: 8 HeatWave Advisor : MySQL HeatWave User Guide :: 1 Overview : MySQL HeatWave User Guide :: 2 HeatWave Architecture : MySQL HeatWave User Guide :: 3 HeatWave Data

NEW QUESTION # 13
You are asked to measure useful quantitative data about a MySQL Database Service system. You must provide information such as current connection information, statement activity, latency, and host OCPU, memory, and disk I/O utilization.
Which three Oracle Cloud Infrastructure monitoring methods should you use? (Choose three.)

A. Alarms
B. Data points
C. Queries
D. Notifications
E. Metrics

Answer: B,C,E

NEW QUESTION # 14
What is the NoSQLHandle interface NOT used for?

A. to gets rows from a table
B. to set the row retention time
C. to access multiple tables
D. to get dynamic information on a table

Answer: B

Explanation:
The NoSQLHandle interface is used to access Oracle NoSQL tables and perform various operations on them, such as getting, putting, deleting, querying, and indexing rows. However, it is not used to set the row retention time, which is a property of the table itself. The row retention time is specified when creating or altering a table using the TableRequest class, which is a subclass of Request. The NoSQLHandle interface does not have a method to create or alter tables, only to execute requests that are already created by the application12.
References:
* NoSQLHandle (Oracle NoSQL Database Java API)
* Obtaining a NoSQL handle - Oracle Help Center

NEW QUESTION # 15
......

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Nick Ward Nick Ward

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