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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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.

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CompTIA Data+ Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
Which of the following is the most efficient to use when programming repeatable tasks?

Answer: B

Explanation:
Robotic process automation is designed to automate repetitive, rule-based tasks, making it the most efficient choice for repeatable processes.


NEW QUESTION # 33
Which of the following is the best language to use in a notebook?

Answer: D


NEW QUESTION # 34
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 # 35
Which of the following data repositories stores unaltered data?

Answer: D

Explanation:
This question falls under theData Concepts and Environmentsdomain, focusing on data repositories. The task is to identify a repository that stores data in its original, unaltered form.
* Data lake (Option A): A data lake stores raw, unaltered data in its native format (structured, semi- structured, or unstructured), making it the correct choice.
* Data warehouse (Option B): A data warehouse stores processed, structured data, often transformed for analysis, not unaltered.
* Data table (Option C): A data table is a structure within a database, not a repository, and may contain altered data.
* Data factory (Option D): A data factory (e.g., Azure Data Factory) is a data integration service, not a repository for storing data.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data lake is designed to store unaltered data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 36
After a database upgrade, a report using datetime calculations does not complete due to an arithmetic overflow error. Which of the following is the best way for a data analyst to troubleshoot the issue?

Answer: B

Explanation:
Arithmetic overflow in datetime calculations typically occurs when the data type cannot handle the computed value, so verifying that the columns use appropriate datetime or numeric data types is the most effective way to troubleshoot the issue.


NEW QUESTION # 37
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