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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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.

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CompTIA Data+ Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
A data professional wants to identify all customers who made a purchase in January. Given the following table:
CustomerID
Month
Sales
0001
January
13000
0002
March
10000
0003
April
23000
0004
May
10000
Which of the following types of functions should the professional use to flag the customers?

Answer: A

Explanation:
This question falls under theData Analysisdomain, focusing on selecting the appropriate function type to filter data in a query. The task is to flag customers who made a purchase in January, which involves a conditional check.
* Statistical (Option A): Statistical functions (e.g., AVG, STDEV) analyze data distributions, not suitable for flagging specific months.
* Logical (Option B): Logical functions (e.g., WHERE Month = 'January' in SQL) are used to apply conditions and flag rows based on criteria, which fits the task.
* Mathematical (Option C): Mathematical functions (e.g., SUM, ROUND) perform calculations, not conditional flagging.
* Date (Option D): Date functions (e.g., MONTH()) manipulate dates, but the Month column is already in text format, so a logical comparison is sufficient.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and logical functions are best for conditional flagging.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 31
A data analyst is designing a report for the business review team. The team lists the following requirements for the report:
- Specific data points
- Color branding
- Labels and terminology
- Suggested charts and tables
Which of the following components is missing from the requirements?

Answer: A

Explanation:
The requirements cover content and design aspects but do not specify how the report will be delivered, such as format, platform, or distribution method, which is essential for completing the report requirements.


NEW QUESTION # 32
A data analyst is compiling a report called "Product Category Sales Performance Summary Report" based on the following table:

Which of the following charts is the most appropriate?

Answer: A

Explanation:
A column chart is the most appropriate choice for a Product Category Sales Performance Summary Report because it effectively compares sales performance across discrete categories such as Baby, Home, Garden, and Furniture. It allows stakeholders to easily identify which product categories generate higher or lower sales and makes category-to-category comparisons clear.


NEW QUESTION # 33
Which of the following makes data unreadable without a required key?

Answer: B

Explanation:
Encryption transforms data into an unreadable format using a cryptographic algorithm, and it can only be restored to its original form with the correct key.


NEW QUESTION # 34
Which of the following best describes the function of a data type?

Answer: C


NEW QUESTION # 35
......

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