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CompTIA DS0-001 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	Business Continuity: Finally, this topic covers the importance of disaster recovery techniques. Moreover, the topic explains backup and restore best practices and processes.
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.

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CompTIA DataSys+ Certification Exam Sample Questions (Q91-Q96):

NEW QUESTION # 91
Which of the following transactions is allowed in a shared lock?

A. Read
B. Delete
C. Update
D. Insert

Answer: A

NEW QUESTION # 92
(A developer needs to integrate a trigger to execute an action in a database. Which of the following SQL snippets is a correct use of a trigger?)

A. CREATE TRIGGER trigger_test
BEFORE ALTER
ON flights
FOR EACH ROW
SET add_ons = 0;
B. CREATE TRIGGER trigger_test
AFTER DROP
ON flights
FOR EACH ROW
SET add_ons = 0;
C. CREATE TRIGGER trigger_test
DURING UPDATE
ON flights
FOR EACH ROW
SET flight_status = 'booked';
D. CREATE TRIGGER trigger_test
BEFORE UPDATE
ON flights
FOR EACH ROW
SET flight_count = flight_count_prev + 1;

Answer: D

Explanation:
Option D is the only snippet that demonstrates a valid trigger timing and event pairing as commonly tested for DataSys+ objectives around database automation and enforcing data integrity. In mainstream relational databases that support row-level triggers (for example, MySQL/MariaDB-style syntax), triggers are typically defined to fire BEFORE or AFTER a DML event such as INSERT, UPDATE, or DELETE. Option D uses BEFORE UPDATE, which is a recognized pattern: it runs automatically prior to an update operation, allowing the database to enforce business rules or modify values consistently and centrally.
By contrast, ALTER and DROP are DDL operations and are not generally supported as row-level trigger events in common SQL implementations; they are handled through DDL auditing features, event triggers (in specific platforms), or administrative logging-not through FOR EACH ROW triggers. Therefore, options A and C are incorrect for typical trigger usage patterns expected in DataSys+ scenarios. Option B is also invalid because DURING is not a standard trigger timing keyword; the standard model is BEFORE/AFTER (and in some platforms, INSTEAD OF for views).
One typing/logic note: many platforms require referencing the row being modified (for example, NEW.
column and OLD.column) rather than bare column names, and trigger bodies often use BEGIN ... END plus statement terminators. Still, among the provided choices, D correctly illustrates the concept DataSys+ emphasizes: using triggers to automate consistent rule enforcement on DML changes.

NEW QUESTION # 93
Several users received a message from the Chief Executive Officer asking them for their bank account details. Which of the following types of attacks is taking place?

A. Phishing
B. Malware
C. Brute-force
D. Denial of service

Answer: A

NEW QUESTION # 94
Howard is a database designer for an e-commerce website working on creating a table to store customer information. He wants to ensure that each customer can be uniquely identified within the table. Which database concept should Jack use to accomplish this goal?

A. Foreign Key
B. Relation
C. Primary Key
D. Tuple

Answer: C

NEW QUESTION # 95
Which of the following indexes stores records in a tabular format?

A. Secondary
B. Columnstore
C. Unique
D. Non-clustered

Answer: B

Explanation:
The index that stores records in a tabular format is columnstore. A columnstore index is a type of index that stores and compresses data by columns rather than by rows. A columnstore index can improve the performance and efficiency of queries that perform aggregations, calculations, or analysis on large amounts of data, such as data warehouse or business intelligence applications.
A columnstore index can also reduce the storage space required for data by applying various compression techniques, such as dictionary encoding, run-length encoding, bit packing, etc. The other options are either different types of indexes or not related to indexes at all. For example, a non-clustered index is a type of index that stores the values of one or more columns in a sorted order along with pointers to the corresponding rows in the table; a unique index is a type of index that enforces uniqueness on one or more columns in a table; a secondary index is an alternative term for a non-clustered index.

NEW QUESTION # 96
......

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