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CompTIA DataSys+ Certification Exam Sample Questions (Q105-Q110):
NEW QUESTION # 105
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 data.
Which of the following would be best suited for this task?
- A. Graph database
- B. Oracle
- C. MS SQL
- D. MongoDB
Answer: D
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.
NEW QUESTION # 106
(Which of the following best describes the function of a wildcard in the WHERE clause?)
- A. An exact match is necessary in a SELECT statement.
- B. An exact match is not possible in a SELECT statement.
- C. An exact match is not possible in a CREATE statement.
- D. An exact match is necessary in a CREATE statement.
Answer: B
Explanation:
The correct answer is C. An exact match is not possible in a SELECT statement. CompTIA DataSys+ documentation explains that wildcards are used in SQL primarily within the WHERE clause of a SELECT statement to enable pattern matching rather than exact value matching. Wildcards such as % and _ are commonly used with the LIKE operator to search for partial strings or variable patterns in character-based data.
In practical database usage, wildcards allow analysts and administrators to retrieve records when the full or exact value is unknown or unnecessary. For example, searching for all patient records with last names starting with "Mac%" or all email addresses ending in "@example.com" requires pattern-based matching. In these cases, an exact match is explicitly not required, which is the core purpose of wildcards in SQL queries.
Option A and D incorrectly reference the CREATE statement. Wildcards are not relevant to CREATE statements, which are used for defining database objects such as tables, indexes, or views. These statements require explicit definitions and do not support wildcard-based matching logic. Option B is also incorrect because a SELECT statement does not always require an exact match; this is precisely why wildcards exist and are heavily used in querying operations.
CompTIA DataSys+ emphasizes that understanding query flexibility is essential for data retrieval and reporting. Wildcards enhance query usability and efficiency by allowing broader result sets without complex logic or multiple conditions. They are particularly valuable in analytical, reporting, and troubleshooting scenarios where partial data exploration is required.
Therefore, the best description of the function of a wildcard in the WHERE clause is that it allows queries where an exact match is not required, making option C the correct and fully aligned answer according to CompTIA DataSys+ principles.
NEW QUESTION # 107
Given the following value from a VARCHAR column that is used to store integer values:
12A
Which of the following is the best way for a DBA to increase the data quality for this column?
- A. Add a check constraint to the column and change it to int.
- B. Keep the column as VARCHAR and correct the value.
- C. Keep the value and change the column to integer.
- D. Correct the value and change it to integer.
Answer: A
NEW QUESTION # 108
A database professional is considering denormalizing a database. Which of the following documents should be used to analyze the database's structure?
- A. UML diagrams
- B. ERD
- C. SOP
- D. Data dictionaries
Answer: B
Explanation:
The document that should be used to analyze the database's structure is an ERD. An ERD, or Entity Relationship Diagram, is a graphical representation of the entities (tables), attributes (columns), and relationships (constraints) in a database. An ERD helps to visualize the structure and design of the database, as well as the dependencies and associations among the tables. An ERD can also help to evaluate the level of normalization of the database, which is a process that organizes data into tables and columns to reduce redundancy and improve consistency. By using an ERD, a database professional can consider denormalizing a database, which is a process that introduces some redundancy or duplication of data to improve performance or simplify queries.
The other options are either different types of documents or not related to the database's structure. For example, an SOP, or Standard Operating Procedure, is a document that describes the steps and procedures for performing a specific task or operation; a data dictionary is a document that describes the metadata (information about data) of a database; a UML diagram is a graphical representation of a software system or its components using the Unified Modeling Language (UML).
NEW QUESTION # 109
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. Delete all the backup files containing data that is rated as classified.
- C. Delete all the backup files that are not required by the backup retention policy.
- D. Move all the backup files to external disks.
Answer: C
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.
NEW QUESTION # 110
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