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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam
Exam Number:DA0-002
Real Exam Qty:Up to 90
Available Languages:English
Exam Price:$255 USD
Passing Score:720 (scale 100–900)
Certificate Validity Period:3 years
Exam Duration:90 minutes
Exam Format:Multiple-choice, Performance-based questions
Recommended Training:CompTIA Official Training
Exam Registration:Pearson VUE Testing
CompTIA Official Registration
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Recommended 18–24 months of experience in data/business analysis role; familiarity with databases, analytical tools, basic statistics, and visualization
Official Syllabus URL:https://www.comptia.org/certifications/data

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CompTIA Certified professionals are often more sought after than their non-certified counterparts and are more likely to earn higher salaries and promotions. Moreover, cracking the CompTIA Data+ Exam (DA0-002) exam helps to ensure that you stay up to date with the latest trends and developments in the industry, making you more valuable assets to your organization.

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
  • 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
  • 5.0 Data Governance, Quality, and Controls

CompTIA Data+ Exam Sample Questions (Q162-Q167):

NEW QUESTION # 162
A data analyst notices that a certain field that stores customer IDs in a defined format has incorrect values. Which of the following could help the analyst identify the issue?

Answer: B

Explanation:
Validation checks ensure that data conforms to predefined formats, rules, or constraints, which helps identify incorrect values in fields such as customer IDs.


NEW QUESTION # 163
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?

Answer: B


NEW QUESTION # 164
A data analyst needs to join data from two tables in a way that all data from one table is shown even if a matching row is not in the other table. Which of the following should the analyst use to achieve the desired output?

Answer: C

Explanation:
A right outer join returns all records from one table while including matching records from the other table when available, ensuring all data from the specified table is preserved even without matches.


NEW QUESTION # 165
A data analyst receives four files that need to be unified into a single spreadsheet for further analysis. All of the files have the same structure, number of columns, and field names, but each file contains different values.
Which of the following methods will help the analyst convert the files into a single spreadsheet?

Answer: C

Explanation:
This question is part of theData Acquisition and Preparationdomain, which involves combining data from multiple sources. The files have the same structure but different values, meaning theyneed to be stacked vertically into one dataset.
* Merging (Option A): Merging typically involves joining datasets on a common key (e.g., a customer ID), which isn't indicated here since the files only differ in values, not keys.
* Appending (Option B): Appending stacks datasets vertically, combining rows from files with the same structure into a single dataset, which matches the scenario.
* Parsing (Option C): Parsing involves breaking down data (e.g., splitting text), not combining files.
* Clustering (Option D): Clustering is a machine learning technique for grouping similar data points, not for combining files.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as appending datasets with identical structures.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.


NEW QUESTION # 166
Which of the following makes data unreadable without a required key?

Answer: C

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 # 167
......

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