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[General] Hot DS0-001 Reliable Dumps Ebook - How to Prepare for CompTIA DS0-001 Exam

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【General】 Hot DS0-001 Reliable Dumps Ebook - How to Prepare for CompTIA DS0-001 Exam

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CompTIA DS0-001 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Business Continuity: Finally, this topic covers the importance of disaster recovery techniques. Moreover, the topic explains backup and restore best practices and processes.
Topic 2
  • Database Deployment: In this topic, you'll find discussions on database planning and design aspects. It also focuses on the implementation, testing, and deployment phases of databases.
Topic 3
  • Database Fundamentals: This topic covers database structure types, SQL code development and modification based on scenarios, comparison of scripting methods and environments, and the impact of programming on database operations.
Topic 4
  • Data and Database Security: This topic focuses on data security concepts, governance and regulatory compliance purposes, implementing authentication and authorization policies and best practices. Additionally, the topic discusses database infrastructure security, and understanding types of attacks and their effects on data systems.
Topic 5
  • Database Management and Maintenance: Here, you'll learn about monitoring and reporting for database management and performance, common database maintenance processes, documentation production, and relevant tools usage. Lastly, the topic focuses on implementing data management tasks.

Learning DS0-001 Materials - Lab DS0-001 QuestionsDesktop CompTIA DataSys+ Certification Exam (DS0-001) practice exam software also keeps track of the earlier attempted DS0-001 practice test so you can know mistakes and overcome them at each and every step. The Desktop DS0-001 Practice Exam software is created and updated in a timely by a team of experts in this field. If any problem arises, a support team is there to fix the issue.
CompTIA DataSys+ Certification Exam Sample Questions (Q25-Q30):NEW QUESTION # 25
A company is launching a proof-of-concept, cloud-based application. One of the requirements is to select a database engine that will allow administrators to perform quick and simple queries on unstructured dat a. Which of the following would be best suited for this task?
  • A. MonogoDB
  • B. Oracle
  • C. Graph database
  • D. MS SQL
Answer: A
Explanation:
The best suited database engine for this task is MongoDB. MongoDB is a type of non-relational database that stores data as documents in JSON-like format. MongoDB allows administrators to perform quick and simple queries on unstructured data, such as text, images, videos, or social media posts, without requiring a predefined schema or complex joins. MongoDB also supports cloud-based deployment, scalability, and high availability. The other options are either relational databases that require a fixed schema and structure for data, or specialized databases that are designed for specific purposes, such as graph databases for storing and analyzing network data. Reference: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.1 Given a scenario, identify and apply database structure types.

NEW QUESTION # 26
A database administrator manages a database server that is running low on disk space. A lot of backup files are stored on the server's disks.
Which of the following is the best action for the administrator to take?
  • A. Delete all the backup files except for the most recent one.
  • B. Move all the backup files to external disks.
  • C. Delete all the backup files containing data that is rated as classified.
  • D. Delete all the backup files that are not required by the backup retention policy.
Answer: D
Explanation:
The best action for the administrator to take is to delete all the backup files that are not required by the backup retention policy. This will free up disk space on the server and also comply with the best practices for data backup and recovery. The backup retention policy defines how long the backup files should be kept and when they should be deleted or archived. The other options are either risky, inefficient, or impractical. For example, moving all the backup files to external disks would require additional hardware and time, deleting all the backup files containing data that is rated as classified would compromise data security and compliance, and deleting all the backup files except for the most recent one would limit the recovery options in case of a disaster. Reference: CompTIA DataSys+ Course Outline, Domain 5.0 Business Continuity, Objective 5.2 Given a scenario, implement backup and restoration of database management systems.

NEW QUESTION # 27
A database is configured to use undo management with temporary undo enabled. An UPDATE is run on the table.
Which of the following describes where the undo is stored?
  • A. In the undo
  • B. In the system global area
  • C. In the temporary
  • D. In the SYSAUX
Answer: C
Explanation:
The correct answer is D. When undo management with temporary undo is enabled, the undo data is stored in the temporary tablespace instead of the undo tablespace. The temporary tablespace is a tablespace that stores temporary data such as sort results or intermediate query results. The undo data is the data that records the changes made by transactions on the database. Undo data is used to roll back transactions in case of errors or failures, or to provide read consistency for concurrent queries. By storing undo data in the temporary tablespace, the database can reduce the space consumption and contention in the undo tablespace, and improve performance and scalability. The other options are either incorrect or irrelevant for this question. For example, the system global area is a memory area that stores information shared by all sessions connected to an instance; the undo tablespace is a tablespace that stores undo data by default; the SYSAUX tablespace is a tablespace that stores auxiliary information for various database features. References: CompTIA DataSys+ Course Outline, Domain 3.0 Database Management and Maintenance, Objective 3.1 Given a scenario, perform common database maintenance tasks.

NEW QUESTION # 28
Which of the following cloud storage options provides users with endpoints to retrieve data via REST API?
  • A. iBIock
  • B. Network file
  • C. Object
  • D. Ephemeral
Answer: C
Explanation:
The cloud storage option that provides users with endpoints to retrieve data via REST API is object. Object storage is a type of cloud storage that stores data as objects, which consist of data, metadata, and a unique identifier. Object storage does not use any hierarchy or structure to organize data, but rather uses flat namespaces that allow users to access data using the unique identifier. Object storage also provides users with endpoints to retrieve data via REST API (Representational State Transfer Application Programming Interface), which is a standard way of communicating with web services using HTTP methods (such as GET, POST, PUT, DELETE) and formats (such as JSON, XML). Object storage is suitable for storing large amounts of unstructured data that do not require frequent changes or complex queries. The other options are either different types of cloud storage or not related to cloud storage at all. For example, network file storage is a type of cloud storage that stores data as files in folders using protocols such as NFS (Network File System) or SMB (Server Message Block); ephemeral storage is a type of temporary storage that stores data only for the duration of a session or process; iBIock is not a valid acronym or type of cloud storage. Reference: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.1 Given a scenario, select an appropriate database deployment method.

NEW QUESTION # 29
Which of the following is an advantage of creating indexes?
  • A. To update the query plan
  • B. To provide quick and efficient access to data
  • C. To reduce memory
  • D. To help with space allocation
Answer: B
Explanation:
The advantage of creating indexes is to provide quick and efficient access to data. An index is a data structure that stores the values of one or more columns of a table in a sorted order, along with pointers to the corresponding rows in the table. An index helps to speed up queries that search, filter, sort, or join data based on the indexed columns, as it reduces the number of disk accesses or scans required to locate the desired data. An index also helps to enforce uniqueness or referential integrity constraints on the indexed columns. The other options are either not true or not relevant for this purpose. For example, an index does not help with space allocation, as it consumes additional space in the database; an index does not reduce memory, as it may use memory for caching or buffering purposes; an index does not update the query plan, as it is an input or a factor for the query optimizer to generate the query plan.

NEW QUESTION # 30
......
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