DA0-002 Valid Exam Tutorial | Professional DA0-002: CompTIA Data+ Exam

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CompTIA DA0-002 Exam Syllabus Topics:

Topic	Details
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	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 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.

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CompTIA Data+ Exam Sample Questions (Q156-Q161):

NEW QUESTION # 156
Which of the following is a NoSQL database?

A. MySQL
B. MongoDB
C. PostgreSQL
D. Oracle

Answer: B

Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on types of databases. The task is to identify a NoSQL database among the options.
* PostgreSQL (Option A): PostgreSQL is a relational (SQL) database, not NoSQL.
* MySQL (Option B): MySQL is a relational (SQL) database, not NoSQL.
* Oracle (Option C): Oracle Database is a relational (SQL) database, not NoSQL.
* MongoDB (Option D): MongoDB is a NoSQL database that uses a document-based model, storing data in JSON-like structures, making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and MongoDB is a well-known NoSQL database.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 157
Given the following cloud service provider data:

Which of the following is the best way to represent the information?

A. Area chart
B. Gantt chart
C. Donut chart
D. Scatter plot

Answer: C

Explanation:
A donut chart is ideal for displaying parts of a whole when the values represent percentages of a total. The cloud providers' market share percentages add up to 100%, making a donut chart an effective way to show each provider's proportion of the overall market.

NEW QUESTION # 158
A data analyst needs to generate a list of employees who currently live in Dade, FL. Given the following table:

Which of the following SQL statements should the analyst use to complete this task?

A. SELECT * FROM Employee WHERE emp_city = 'Dade' AND emp_st = 'FL';
B. SELECT * FROM Employee WHERE emp_city = 'Dade' OR emp_st = 'FL';
C. SELECT * FROM Employee WHERE emp_city IN ('Dade', 'FL');
D. SELECT * FROM Employee WHERE emp_city LIKE 'D%';

Answer: A

Explanation:
The requirement is to return only employees who live in both the city of Dade and the state of FL.
Using the AND operator ensures that both conditions must be true for a record to be included in the result set.

NEW QUESTION # 159
A data analyst is creating a new dataset that involves bringing together the following datasets:

Which of the following would be the output if the data analyst does a FULL JOIN?

Answer: B

Explanation:
A FULL JOIN returns all records from both tables. Matching records are combined based on the common ID field, while nonmatching records from either table are still included with null or blank values for the missing columns.
In the source data:
ID 23525 exists in both tables, so Frank is combined with the Chicago address.
ID 11290 exists in both tables, so Martha is combined with the Miami address.
ID 12141 exists only in the first table, so Ellen appears with blank address information.
ID 11040 exists only in the second table, so the address record appears with blank name and date-of-birth information.

NEW QUESTION # 160
A data analyst needs to combine the results of two separate queries that have similar data and the same number of columns. The output must also have distinct rows. Which of the following should the data analyst use?

A. Aggregate
B. Outer join
C. Union
D. Concatenate

Answer: C

Explanation:
A union combines the results of two separate queries into a single result set when the queries return the same number of columns with compatible data types. By default, UNION returns only distinct rows, removing duplicates from the combined output.

NEW QUESTION # 161
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