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CompTIA DA0-002 Exam Overview:

Certification Vendor:	CompTIA
Exam Name:	CompTIA Data+ Certification Exam
Exam Number:	DA0-002
Exam Duration:	90 minutes
Exam Price:	$253 USD (may vary by region/tax)
Available Languages:	English
Certificate Validity Period:	3 years
Real Exam Qty:	Up to 90
Passing Score:	675 (on a scale of 100–900)
Exam Format:	Multiple-response, Multiple-choice, Performance-based questions
Recommended Training:	CompTIA Data+ Study Resources CompTIA CertMaster Learn for Data+
Exam Registration:	Pearson VUE CompTIA Exams Registration CompTIA Data+ Certification Page
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:

Topic	Details
Topic 1	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 2	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 3	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 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.

CompTIA Data+ Exam Sample Questions (Q84-Q89):

NEW QUESTION # 84
A user needs a report that shows the main causes of customer churn rate in a three-year period. Which of the following methods provides this information?

A. Inferential
B. Predictive
C. Descriptive
D. Prescriptive

Answer: C

Explanation:
This question falls under theData Analysisdomain, focusing on analytical methods for reporting. The task is to identify the causes of customer churn over three years, which involves analyzing historical data.
* Inferential (Option A): Inferential statistics make predictions or generalizations about a population, not focused on identifying causes in historical data.
* Descriptive (Option B): Descriptive analytics summarizes historical data to identify patterns and causes (e.g., reasons for churn), which fits the task.
* Prescriptive (Option C): Prescriptive analytics provides recommendations, which goes beyond identifying causes.
* Predictive (Option D): Predictive analytics forecasts future outcomes, not focused on historical causes.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and descriptive analytics is best for identifying causes in historical data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.

NEW QUESTION # 85
A data analyst receives an email from the IT department about renewing the company password, and the analyst follows the password reset link as required. Later in the week, the analyst receives the following notification when running a recurring analysis that connects to the database:
Log-in failed for user '<username>'
Which of the following is most likely the reason for this issue?

A. The company changed its database authentication method.
B. The company is experiencing issues with password replication.
C. The analyst did not change the password used to launch the report.
D. The password expiration process locked the account.

Answer: C

Explanation:
The recurring analysis likely uses stored database credentials. After the analyst changed the company password, the password saved in the report, scheduled job, or database connection was no longer valid. As a result, the automated process failed authentication and returned the log-in error.

NEW QUESTION # 86
A data analyst encounters an issue with new software and a code that they are using. The analyst includes print statements in the code to try to identify the issue, without success. An informal peer review of the code also produces the same result. The analyst confirms that the software is updated to the latest version and compatible with the code. Which of the following troubleshooting steps should the analyst take next?

A. Use the old software and preexisting code, since both were functional.
B. Escalate to the department manager and ask for assistance.
C. Contact the IT department and inform them that the software has a bug.
D. Research the issue online and see if a solution is available.

Answer: D

Explanation:
This question pertains to theData Governancedomain, focusing on troubleshooting andmaintaining data quality in software processes. The analyst has already tried basic debugging and confirmed compatibility, so the next step involves seeking external resources.
* Use the old software and preexisting code, since both were functional (Option A): Reverting to old software avoids solving the issue and may introduce other risks (e.g., security vulnerabilities).
* Contact the IT department and inform them that the software has a bug (Option B): Assuming a bug without further investigation is premature, especially since compatibility was confirmed.
* Escalate to the department manager and ask for assistance (Option C): Escalation is a later step after exhausting technical troubleshooting options.
* Research the issue online and see if a solution is available (Option D): Researching online (e.g., forums, documentation) is a logical next step to find solutions or identify known issues, especially after local debugging fails.
The DA0-002 Data Governance domain includes "data quality control concepts," and researching online is a standard troubleshooting step to maintain data process integrity.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.

NEW QUESTION # 87
A manager requests a report that returns results based on a user's profile. Which of the following best describes this type of report?

A. Snapshot
B. Real-time
C. Static
D. Dynamic

Answer: D

Explanation:
A dynamic report adjusts its output based on user-specific attributes or profiles, allowing different users to see customized results.

NEW QUESTION # 88
An administrator needs to design a table that will include foreign words. Which of the following is the best option for storing non-native language characters?

A. VARCHAR
B. CHAR
C. CLOB
D. NVARCHAR

Answer: D

Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on selecting appropriate data types for storing specific kinds of data. The task requires storing foreign words, which often include non- native characters (e.g., accents, Unicode characters).
* VARCHAR (Option A): VARCHAR stores variable-length strings but typically uses ASCII or single- byte encoding, which may not support all foreign characters.
* NVARCHAR (Option B): NVARCHAR (National VARCHAR) stores variable-length strings in Unicode, supporting a wide range of non-native characters, making it the best choice.
* CLOB (Option C): CLOB (Character Large Object) is for large text data, but it's overkill for most foreign words and not specifically designed for Unicode.
* CHAR (Option D): CHAR stores fixed-length strings, but like VARCHAR, it often uses single-byte encoding, which may not support foreign characters.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as selecting data types like NVARCHAR for Unicode support.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

NEW QUESTION # 89
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