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| Certification Vendor: | CompTIA |
|---|---|
| Exam Name: | CompTIA Data+ Exam |
| Exam Number: | DA0-002 |
| Exam Price: | $255 USD |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | Up to 90 |
| Passing Score: | 720 (scale 100โ900) |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Exam Format: | Performance-based questions, Multiple-choice |
| Recommended Training: | CompTIA Official Training |
| Exam Registration: | CompTIA Official Registration Pearson VUE Testing |
| Sample Questions: | CompTIA DA0-002 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Recommended 18โ24 months of experience in data/business analysis role; familiarity with databases, analytical tools, basic statistics, and visualization |
| Official Syllabus URL: | https://www.comptia.org/certifications/data |
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NEW QUESTION # 22
A data analyst created a dashboard to illustrate the traffic volume and mean response time for a call center. The traffic data is current, but the mean response time has not updated for more than an hour. Which of the following is the best way to verify the data's freshness?
Answer: D
Explanation:
Checking when the calculation script last ran verifies whether the metric is being refreshed properly, which directly confirms the data's freshness.
NEW QUESTION # 23
Which of the following data repositories stores unaltered data?
Answer: B
Explanation:
A data lake stores raw, unaltered data in its native format, including structured, semi-structured, and unstructured data. This allows organizations to retain data as originally collected and transform it later when needed for analysis.
NEW QUESTION # 24
A data analyst is creating a forecast for a product line introduced early last year. Which of the following should the analyst use to create projected sales and customer satisfaction for next year?
Answer: A
Explanation:
This question pertains to theData Analysisdomain, focusing on data types and methods for forecasting. The task involves projecting sales (numerical) and customer satisfaction (likely ordinal,e.g., ratings), requiring appropriate data attributes.
* Standard deviation and constraints (Option A): Standard deviation measures data spread, and constraints are conditions, neither of which directly supports forecasting.
* Mean and median (Option B): Mean and median are descriptive statistics, not sufficient for forecasting future values.
* Boolean data and an array (Option C): Boolean data (true/false) and arrays (data structures) are not relevant for forecasting sales and satisfaction.
* Numerical and ordinal attributes (Option D): Sales are numerical (e.g., units sold), and customer satisfaction is often ordinal (e.g., 1-5 ratings). These attributes are suitable for forecasting models (e.g., time-series analysis for sales, regression for satisfaction).
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and numerical and ordinal attributes are key for forecasting sales and satisfaction.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 25
Which of the following tables holds relational keys and numeric values?
Answer: B
Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on understanding table types in data warehousing. The task is to identify a table that holds relational keys and numeric values, typically used in a star schema.
* Fact (Option A): Fact tables in a star schema store quantitative data (numeric values, e.g., sales amounts) and foreign keys (relational keys) linking to dimension tables, making this the correct choice.
* Graph (Option B): Graph tables are used in graph databases for relationships (e.g., nodes, edges), not typically for relational keys and numeric values in a traditional sense.
* Dimensional (Option C): Dimension tables store descriptive attributes (e.g., product names) and primary keys, not typically numeric measures.
* Transactional (Option D): Transactional tables are used in OLTP systems and may contain numeric values, but they're not specifically designed for relational keys in a data warehousing context.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and fact tables are designed to hold relational keys and numeric values in a data warehouse.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
NEW QUESTION # 26
Which of the following allows the transfer of isolated applications to multiple environments?
Answer: A
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 # 27
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