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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA Data+ Certification Exam |
| Exam Number: | DA0-002 |
| Passing Score: | 675 (on a scale of 100โ900) |
| Exam Price: | $253 USD (may vary by region/tax) |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | Up to 90 |
| Exam Format: | Multiple-response, Performance-based questions, Multiple-choice |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Recommended Training: | CompTIA Data+ Study Resources CompTIA CertMaster Learn for Data+ |
| Exam Registration: | Pearson VUE CompTIA Exams Registration CompTIA Data+ Certification Page |
| Sample Questions: | CompTIA DA0-002 Sample Questions |
| Exam Way: | Delivered via Pearson VUE testing centers or online proctored exam |
| Pre Condition: | No mandatory prerequisites. Recommended: 18โ24 months of experience in a business/data analytics environment. |
| Official Syllabus URL: | https://www.comptia.org/certifications/data-plus |
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NEW QUESTION # 19
A data analyst receives a request for the current employee head count and runs the following SQL statement:
SELECT COUNT(EMPLOYEE_ID) FROM JOBS
The returned head count is higher than expected because employees can have multiple jobs. Which of the following should return an accurate employee head count?
Answer: A
Explanation:
This question falls under theData Analysisdomain of CompTIA Data+ DA0-002, which involves using SQL queries to analyze data and address issues like duplicates in datasets. The issue here is that the initial query counts all instances of EMPLOYEE_ID in the JOBS table, but employees can have multiple jobs, leading to an inflated head count. The goal is to count unique employees.
* SELECT JOB_TYPE, COUNT DISTINCT(EMPLOYEE_ID) FROM JOBS (Option A): This query is syntactically incorrect because COUNT DISTINCT(EMPLOYEE_ID) should use parentheses as COUNT(DISTINCT EMPLOYEE_ID). It also groups by JOB_TYPE, which is unnecessary for a total head count.
* SELECT DISTINCT COUNT(EMPLOYEE_ID) FROM JOBS (Option B): This query is incorrect because DISTINCT applies to the rows returned, not the COUNT function directly. It doesn't address the duplicate EMPLOYEE_ID issue.
* SELECT JOB_TYPE, COUNT(DISTINCT EMPLOYEE_ID) FROM JOBS (Option C): While this query correctly uses COUNT(DISTINCT EMPLOYEE_ID) to count unique employees, grouping by JOB_TYPE breaks the count into separate groups, which isn't required for a total head count.
* SELECT COUNT(DISTINCT EMPLOYEE_ID) FROM JOBS (Option D): This query correctly counts only unique EMPLOYEE_IDs by using the DISTINCT keyword within the COUNT function, providing an accurate total head count without grouping.
The DA0-002 Data Analysis domain emphasizes "given a scenario, applying the appropriate descriptive statistical methods using SQL queries," which includes handling duplicates with functions like COUNT (DISTINCT). Option D is the most direct and accurate method for a total unique head count.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 20
Which of the following best represents a type of infrastructure that requires a company to purchase and maintain all of its own servers?
Answer: A
Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on types of server infrastructure. The task is to identify an infrastructure where a company owns and maintainsall servers.
* Private (Option A): A private infrastructure (often on-premises) means the company owns and maintains its own servers, typically in a private data center, which matches the requirement.
* Cloud (Option B): Cloud infrastructure is managed by third-party providers, not owned by the company.
* Hybrid (Option C): Hybrid combines on-premises and cloud, so not all servers are owned by the company.
* Public (Option D): Public infrastructure is a cloud model shared across multiple organizations, not owned by the company.
The DA0-002 Data Concepts and Environments domain includes understanding "data environments," and a private infrastructure requires the company to purchase and maintain its own servers.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
NEW QUESTION # 21
A data analyst receives a new data source that contains employee IDs, job titles, dates of birth, addresses, years of service, and employees' birth months. Which of the following inconsistencies should the analyst identify?
Answer: B
Explanation:
This question falls under theData Governancedomain, focusing on identifying data quality issues. The dataset includes dates of birth and birth months, which suggests a potential inconsistency.
* Redundancy (Option A): The dataset includes both dates of birth (e.g., 1990-05-15) and birth months (e.g., May), which is redundant because the birth month can be derived from the date of birth, indicating a data quality issue.
* Equivalence (Option B): Equivalence isn't a standard data quality term in this context; it might refer to data matching, which isn't the issue here.
* Parallel (Option C): Parallel isn't a recognized data quality term; it might relate to processing, not data inconsistencies.
* Duplication (Option D): Duplication refers to identical records, but the issue here is redundant fields, not duplicate rows.
The DA0-002 Data Governance domain includes "data quality control concepts," and redundancy is a key inconsistency when the same information is stored in multiple forms unnecessarily.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 22
Given the following data set:
Which of the following is the mode?
Answer: D
Explanation:
The mode is the value that appears most frequently in the data set, and 41 occurs twice while all other values occur only once.
NEW QUESTION # 23
Which of the following allows the transfer of isolated applications to multiple environments?
Answer: D
Explanation:
Containerization packages an application with all its dependencies into a portable container, allowing it to run consistently across multiple environments without conflicts.
NEW QUESTION # 24
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