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CompTIA DataSys+ Certification Exam Sample Questions (Q112-Q117):

NEW QUESTION # 112
Which of the following best describes a collection of data that shares the same properties or attributes?

Answer: D

Explanation:
The option that best describes a collection of data that shares the same properties or attributes is entity set. An entity set is a term used in the entity-relationship (ER) model, which is a conceptual model for designing and representing databases. An entity set is a collection of entities that have the same type or characteristics, such as students, courses, products, etc. An entity is an object or thing that can be identified and distinguished from others, such as a specific student, course, product, etc. An entity set can have one or more attributes that describe the properties or features of the entities, such as name, age, price, etc. An entity set can also have one or more relationships with other entity sets that define how the entities are associated or connected, such as enrolled, taught by, purchased by, etc. The other options are either different terms or not related to the ER model at all. For example, relation set is a term used in the relational model, which is a logical model for implementing and manipulating databases; ER model is a term used to refer to the entity-relationship model itself; tuples are rows or records in a table or relation.


NEW QUESTION # 113
(Which of the following should a database administrator monitor to ensure a database has enough physical storage available to maintain performance expectations? Select two.)

Answer: A,B

Explanation:
The correct answers are B. Disk space and D. Database size growth. CompTIA DataSys+ places strong emphasis on storage monitoring as a critical responsibility of a database administrator (DBA), particularly to ensure ongoing performance, availability, and capacity planning. Physical storage constraints directly affect database operations such as inserts, updates, indexing, backups, and transaction logging.
Disk space monitoring is essential because databases require sufficient free storage not only for data files, but also for transaction logs, temporary files, indexes, and maintenance operations. If disk space becomes constrained, the database may experience degraded performance, failed write operations, or complete service outages. DataSys+ highlights proactive disk monitoring as a best practice to prevent unplanned downtime and emergency remediation.
Database size growth is equally important because it enables the DBA to anticipate future storage needs.
Databases rarely remain static; they grow as new records are added, indexes expand, and historical data accumulates. By tracking growth trends, administrators can forecast when additional storage will be required and take action before performance is impacted. DataSys+ identifies capacity planning as a key operational task, and monitoring growth patterns is central to that process.
Option A, network traffic, affects connectivity and throughput but does not determine physical storage availability. Option C, concurrent connections, relates to workload and performance but not disk capacity.
Option E, CPU usage, and option F, RAM usage, are critical server health metrics, but they do not indicate whether sufficient physical storage exists.
CompTIA DataSys+ clearly distinguishes between compute resources and storage resources. To ensure adequate physical storage and sustained performance, DBAs must monitor both current disk utilization and long-term database growth. Therefore, B and D are the correct and fully verified answers.


NEW QUESTION # 114
(Analysts are writing complex queries across live tables for a database administrator. Which of the following is the best solution for the analysts to implement in order to improve user performance?)

Answer: D

Explanation:
The correct answer is A. Creating views to support repeat queries. CompTIA DataSys+ emphasizes that views are an effective way to improve performance, usability, and consistency when users frequently run complex queries against live production tables. A view is a virtual table based on a predefined SQL query that presents data in a simplified and reusable format without physically storing the data.
When analysts run complex queries directly against live tables, it can increase CPU usage, I/O operations, and locking contention, potentially impacting other users and critical workloads. By creating views, the database administrator can encapsulate complex joins, filters, and aggregations into a single logical object. Analysts can then query the view instead of repeatedly executing expensive SQL statements. This reduces query complexity, improves readability, and can lead to more predictable performance. DataSys+ highlights views as a best practice for supporting reporting and analytical workloads while minimizing disruption to transactional systems.
Option B, removing data redundancy, is related to normalization and data integrity, not query performance optimization for analysts. Option C, modifying the data in the table, risks data integrity issues and does not address performance concerns. Option D, deleting records from the table, may reduce table size but is not an appropriate or safe method for improving user query performance and can result in data loss.
CompTIA DataSys+ also notes that views can enhance security by limiting analysts' access to only the required columns or rows, further protecting live data. In some implementations, indexed or materialized views can offer additional performance benefits for repeated queries.
Therefore, the best solution to improve analyst performance when running complex, repeat queries on live tables is creating views to support repeat queries, making option A the correct and fully verified answer.


NEW QUESTION # 115
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?

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 # 116
Which of the following cloud storage options provides users with endpoints to retrieve data via REST API?

Answer: A

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. References: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.1 Given a scenario, select an appropriate database deployment method.


NEW QUESTION # 117
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