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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Concepts and Environments: This section of the exam measures the skills of a Junior Data Analyst and focuses on understanding core data concepts such as database types, schema structures, and data formats. It highlights differences between structured and unstructured data, compares file types like CSV, JSON, and XML, and introduces key ideas about data dimensions and slowly changing dimensions. Knowing how data is stored and organized helps professionals better prepare for analysis and reporting tasks.
Topic 2
  • 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.
Topic 3
  • 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 4
  • This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
Topic 5
  • 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.

>> Valid DA0-002 Test Objectives <<

Pass Guaranteed Quiz 2026 CompTIA Latest Valid DA0-002 Test Objectives

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CompTIA Data+ Exam Sample Questions (Q95-Q100):

NEW QUESTION # 95
A data analyst is creating a statistical table that contains basic information about the data set.
Which of the following is the best statistical method for this scenario?

Answer: B

Explanation:
Descriptive statistics summarize and present key characteristics of a data set, such as counts, averages, and distributions, which are typically included in a statistical table.


NEW QUESTION # 96
A Chief Executive Officer (CEO) reviews the results of a sales report and notices that the company's performance decreased in the last quarter. The CEO needs additional information to understand the reason. Which of the following is the best analysis method for a data analyst to use?

Answer: A

Explanation:
Diagnostic analysis is used to determine why an event occurred. Since the CEO already knows that sales performance decreased and wants to understand the underlying causes, diagnostic analysis is the appropriate method to identify the factors that contributed to the decline.


NEW QUESTION # 97
A data scientist is presenting a summary speech on current AI trends in the data industry to local high school students. Which of the following should the data scientist consider first when developing the presentation?

Answer: B

Explanation:
The technical knowledge of the audience should be considered first because it determines the appropriate level of detail, terminology, and complexity of the presentation. Since the audience consists of high school students, the content should be tailored to their likely level of understanding to ensure effective communication.


NEW QUESTION # 98
A company's entire server environment is located at the company's headquarters. Which of the following describes this type of environment?

Answer: D

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on types of server environments. The servers are located at the company's headquarters, indicating a specific deployment model.
* Cloud (Option A): Cloud environments are hosted off-site by third-party providers, not at headquarters.
* On-premises (Option B): On-premises environments are located at the company's physical location (e.
g., headquarters), which matches the scenario.
* Public (Option C): Public environments are cloud-based and shared across multiple organizations, not located at headquarters.
* Hybrid (Option D): Hybrid environments combine on-premises and cloud, but the scenario specifies all servers are at headquarters.
The DA0-002 Data Concepts and Environments domain includes understanding "data environments," and on- premises describes a server environment located at the company's site.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 99
A grocery store wants to view the revenue from the previous year, highlighting individual departments.
Which of the following is the most appropriate chart to communicate this information?

Answer: B

Explanation:
This question is part of theVisualization and Reportingdomain, focusing on selecting the appropriate visualization for a given dataset. The grocery store wants to view revenue by department, which requires a chart that shows proportions or comparisons across categories.
* Gantt (Option A): Gantt charts are used for project scheduling, not for comparing revenue across categories.
* Pie (Option B): Pie charts are ideal for showing proportions or percentages of a whole, such as revenue distribution across departments, making this the best choice.
* Area (Option C): Area charts are better for showing trends over time, not static categorical comparisons.
* Line (Option D): Line charts are used for trends over time, not for comparing discrete categories like departments.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization" , and a pie chart is the most appropriate for showing departmental revenue proportions.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting


NEW QUESTION # 100
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