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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Certification Exam
Exam Number:DA0-002
Certificate Validity Period:3 years
Exam Price:$253 USD (may vary by region/tax)
Real Exam Qty:Up to 90
Exam Format:Performance-based questions, Multiple-response, Multiple-choice
Exam Duration:90 minutes
Available Languages:English
Passing Score:675 (on a scale of 100–900)
Recommended Training:CompTIA CertMaster Learn for Data+
CompTIA Data+ Study Resources
Exam Registration:CompTIA Data+ Certification Page
Pearson VUE CompTIA Exams Registration
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: 18–24 months of experience in a business/data analytics environment.
Official Syllabus URL:https://www.comptia.org/certifications/data-plus

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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Visualization: This section of the exam measures skills of a Data Visualisation Specialist and focuses on turning raw data into clear, visual insights. It teaches how to match visual formats like bar charts, heat maps, and line graphs to specific audiences and needs. Candidates must understand how to create dashboards and reports using proper design elements such as labels, layout, branding, and colour schemes. This section also includes best practices for dashboard development and delivery through various platforms and user access levels.
Topic 2
  • Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
Topic 3
  • 5.0 Data Governance, Quality, and Controls
Topic 4
  • Data Mining: This section of the exam measures skills of a Business Intelligence Analyst and covers how data is collected, cleaned, and prepared for analysis. It explains methods like ETL and ELT for data integration, as well as web scraping, API use, and survey data collection. Candidates are expected to identify issues like missing or duplicated data and apply techniques like filtering, sorting, merging, and normalizing. The section also touches on query optimization strategies to improve data handling efficiency.

CompTIA Data+ Exam Sample Questions (Q56-Q61):

NEW QUESTION # 56
Which of the following data repositories stores unformatted data in its original, raw form?

Answer: B

Explanation:
A data lake stores data in its raw, unstructured or semi-structured form without requiring predefined schemas, allowing flexible processing and analysis later.


NEW QUESTION # 57
A data analyst needs to access data from the last ten years to develop a report. Which of the following should the analyst do to develop the report without affecting the system's performance?

Answer: C

Explanation:
Creating a snapshot of the required historical data and performing the analysis in an isolated environment allows the analyst to work with the necessary ten years of data without placing additional load on the production system. This approach minimizes the impact on system performance while providing a stable dataset for reporting and analysis.


NEW QUESTION # 58
A company experiences a data breach that exposes some customers' information. A data analyst must categorize the customer data into fully affected, partially affected, and not affected. Which of the following is the best technique to use to quantify the extent of the breach?

Answer: A

Explanation:
Binning groups data into predefined categories or ranges. Classifying customers as fully affected, partially affected, and not affected is a form of binning that enables the analyst to quantify and measure the extent of the breach by placing records into meaningful categories.


NEW QUESTION # 59
A data analyst is designing a report for a grocery chain and needs to include stores, product placement, and SKUs. Which of the following best describes the data management concept that the analyst is considering?

Answer: A

Explanation:
Hierarchy describes the organization of data into levels or parent-child relationships. In this case, stores, product placement, and SKUs represent related levels within a structured business hierarchy, allowing the analyst to organize and report data according to those relationships.


NEW QUESTION # 60
Which of the following best describes an assessment a data analyst would use to validate that the number of records in a dataset matches the expected results?

Answer: B

Explanation:
This question pertains to theData Governancedomain, focusing on data quality validation techniques. The task is to validate that the number of records matches expectations, which requires a specific type of assessment.
* Source control (Option A): Source control (e.g., Git) manages code versions, not dataset validation.
* Unit test (Option B): A unit test checks a specific component of a process, such as verifying that the number of records in a dataset matches the expected count, making it the best fit.
* Stress test (Option C): Stress tests evaluate system performance under load, not record counts.
* Health check (Option D): A health check monitors system status but isn't specific to validating record counts.
The DA0-002 Data Governance domain includes "data quality control concepts," and unit tests are a standard method for validating specific data outcomes like record counts.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 61
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