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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance, Quality, and Controls | 15% | - Data quality management - Compliance, privacy, and security controls - Data governance frameworks and policies |
| Topic 2: Data Analysis | 25% | - Trend and pattern identification - Data interpretation and reporting - Statistical methods and analysis techniques |
| Topic 3: Data Concepts and Environments | 15% | - Data types, structures, and file formats - Data lifecycle and data ecosystems - Data storage systems and platforms |
| Topic 4: Visualization | 20% | - Data storytelling and reporting tools - Chart and dashboard design principles - Visualization best practices |
| Topic 5: Data Mining | 25% | - Data collection and extraction methods - Data processing and transformation - Data manipulation and cleaning techniques |
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NEW QUESTION # 79
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: B
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 # 80
Which of the following file types separates data using a delimiter?
Answer: D
Explanation:
A CSV file stores data in plain text format where values are separated by a delimiter, typically a comma, making it a standard delimited file type.
NEW QUESTION # 81
An analyst compiled data on the preferred color of various models of cars over a period of time.
Which of the following visualizations is best way to present this information?
Answer: C
Explanation:
A stacked chart effectively displays the distribution of categories (car colors) across different models over time, showing proportions and comparisons.
NEW QUESTION # 82
A data analyst needs to provide a weekly sales report for the Chief Financial Officer. Which of the following delivery methods is the most appropriate?
Answer: C
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on report delivery methods for a specific audience. The Chief Financial Officer (CFO) needs a weekly sales report,suggesting a concise, executive-level summary.
* A granular daily report in a dashboard (Option A): Daily granularity is too frequent for a weekly report, and a dashboard might be too interactive for a CFO's needs.
* A detailed text document (Option B): A detailed document is too lengthy for a CFO, who typically needs a summary.
* A spreadsheet with raw data (Option C): Raw data requires further analysis, which isn't appropriate for an executive-level report.
* A high-level email (Option D): A high-level email provides a concise summary of weekly sales, tailored for an executive like a CFO, making it the most appropriate delivery method.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and a high-level email is best for delivering a weekly summary to a CFO.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 83
Which of the following data repositories stores unstructured and structured data?
Answer: D
Explanation:
A data lake is designed to store both structured and unstructured data in its native format, providing flexibility for various types of data processing and analysis.
NEW QUESTION # 84
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