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| Section | Weight | Objectives |
|---|---|---|
| Database Deployment & Planning | 19% | - Replication Strategies - High Availability Architecture - Database Server Requirements - Disaster Recovery Planning - Database Clustering - Capacity Planning |
| Database Implementation | 22% | - Database Objects (Tables, Views, Indexes) - Triggers - Data Types and Constraints - Stored Procedures and Functions - SQL DDL Statements - Data Import/Export |
| Database Support, Maintenance & Optimization | 20% | - Performance Monitoring - Query Optimization - Database Security (Users, Roles, Permissions) - Index Management - Backup and Recovery Procedures - Patch Management |
| Database Fundamentals | 20% | - Data Normalization - Database Concepts and Architecture - Data Models (Relational, NoSQL, etc.) - ACID Properties - CAP Theorem - Database Design Principles |
| Data Analytics & Engineering | 19% | - Reporting Concepts - ETL Processes - Data Warehousing Concepts - Data Visualization Basics - Data Governance - Data Quality |
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NEW QUESTION # 41
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 # 42
(Which of the following normal forms (NFs) is considered the most preferable for relational database design?)
Answer: A
Explanation:
The correct answer is C. 3NF (Third Normal Form). According to CompTIA DataSys+, Third Normal Form is widely regarded as the most preferable and practical level of normalization for relational database design in real-world environments. It strikes an optimal balance between reducing data redundancy, maintaining data integrity, and preserving query performance.
To understand why 3NF is preferred, it is important to consider the progression of normalization. First Normal Form (1NF) ensures that tables contain atomic values and no repeating groups. Second Normal Form (2NF) builds on this by eliminating partial dependencies, ensuring that non-key attributes depend on the entire primary key. While these forms improve structure, they do not fully address all redundancy issues.
Third Normal Form (3NF) goes further by removing transitive dependencies, meaning that non-key attributes depend only on the primary key and not on other non-key attributes. This significantly reduces duplication of data and prevents common anomalies during INSERT, UPDATE, and DELETE operations.
CompTIA DataSys+ emphasizes that eliminating transitive dependencies is critical for maintaining long-term data consistency and integrity.
Although Fourth Normal Form (4NF) and higher normal forms exist, DataSys+ notes that they are typically applied only in specialized cases involving complex multi-valued dependencies. Over-normalization beyond
3NF can increase schema complexity, require excessive joins, and negatively impact performance without providing proportional benefits in most transactional systems.
As a result, 3NF is considered the industry-standard target for relational database design. It provides a clean, maintainable schema that supports scalability, reduces redundancy, and aligns well with performance expectations. CompTIA DataSys+ highlights 3NF as the most commonly implemented and recommended normalization level for operational databases.
Therefore, the most preferable normal form for relational database design is 3NF, making option C the correct and fully verified answer.
NEW QUESTION # 43
A database administrator wants to remove inactive customers from a database. Which of the following statements should the administrator use?
Answer: D
Explanation:
The statement that the administrator should use to remove inactive customers from a database is option A.
This statement uses the DELETE command to delete all the rows from the customer table where the status column is equal to 'inactive'. The other options either have syntax errors, use incorrect commands, or do not specify the condition correctly. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.2 Given a scenario, execute database tasks using scripting and programming languages.
NEW QUESTION # 44
A database administrator is migrating the information in a legacy table to a newer table. Both tables contain the same columns, and some of the data may overlap.
Which of the following SQL commands should the administrator use to ensure that records from the two tables are not duplicated?
Answer: D
Explanation:
The SQL command that the administrator should use to ensure that records from the two tables are not duplicated is option A. This command uses the UNION clause to combine the records from the legacy table and the newer table into a single result set. The UNION clause also eliminates any duplicate records that may exist in both tables, and sorts the result by default. The other options either do not produce the desired result or have syntax errors. For example, option B would join the records from the two tables based on a common column, but not remove any duplicates; option C would return only the records that are common to both tables, but not the ones that are unique to each table; option D would produce a Cartesian product of the records from the two tables, which would increase the number of duplicates.
NEW QUESTION # 45
A server administrator wants to analyze a database server's disk throughput. Which of the following should the administrator measure?
Answer: A
Explanation:
The factor that the administrator should measure to analyze a database server's disk throughput is IOPS. IOPS, or Input/Output Operations Per Second, is a metric that measures the number of read and write operations that a disk can perform in one second. IOPS indicates the performance or speed of a disk and how well it can handle multiple requests or transactions. Higher IOPS means higher disk throughput and lower latency. IOPS can be affected by various factors, such as disk type, size, speed, cache, RAID level, etc. The other options are either not related or not sufficient for this purpose. For example, RPfvl is not a valid acronym or metric; latency is the time delay between a request and a response; reads are the number of read operations performed by a disk.
NEW QUESTION # 46
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