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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 5.0 Data Governance, Quality, and Controls
Topic 2
  • 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 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.
Topic 4
  • 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.

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Exam4PDF CompTIA DA0-002 preparation material is a comprehensive solution for CompTIA DA0-002 test preparation, with a variety of features aimed to help you earning the DA0-002. The DA0-002 test is a required step in getting the CompTIA Data+ Exam certification badge. With Exam4PDF, you will get access to CompTIA DA0-002 Actual Questions that will allow you to focus on important concepts and prepare for the CompTIA exam in a short period of time.

CompTIA Data+ Exam Sample Questions (Q72-Q77):

NEW QUESTION # 72
Which of the following data sources makes online data consumption easier?

Answer: C

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on data sources that facilitate online data access. The task is to identify a source that simplifies online data consumption.
* Data mart (Option A): A data mart stores structured data for specific business areas, typically accessed internally, not designed for online consumption.
* Web scraping (Option B): Web scraping extracts data from websites but requires parsing and cleaning, which isn't necessarily "easier."
* Database (Option C): Databases store data but aren't inherently designed for online consumption without an interface.
* Application programming interface (Option D): An API provides a structured way to access data online, often in formats like JSON, making data consumption easier for applications and users.
The DA0-002 Data Concepts and Environments domain includes understanding "data sources," and APIs are specifically designed to simplify online data access.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 73
A data analyst is creating a forecast for a product line introduced early last year. Which of the following should the analyst use to create projected sales and customer satisfaction for next year?

Answer: A

Explanation:
This question pertains to theData Analysisdomain, focusing on data types and methods for forecasting. The task involves projecting sales (numerical) and customer satisfaction (likely ordinal,e.g., ratings), requiring appropriate data attributes.
* Standard deviation and constraints (Option A): Standard deviation measures data spread, and constraints are conditions, neither of which directly supports forecasting.
* Mean and median (Option B): Mean and median are descriptive statistics, not sufficient for forecasting future values.
* Boolean data and an array (Option C): Boolean data (true/false) and arrays (data structures) are not relevant for forecasting sales and satisfaction.
* Numerical and ordinal attributes (Option D): Sales are numerical (e.g., units sold), and customer satisfaction is often ordinal (e.g., 1-5 ratings). These attributes are suitable for forecasting models (e.g., time-series analysis for sales, regression for satisfaction).
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and numerical and ordinal attributes are key for forecasting sales and satisfaction.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 74
A data analyst is gathering data from multiple tables in a database. The analyst needs certain columns from each table. Which of the following is the best method to accomplish this task?

Answer: D

Explanation:
A join combines data from multiple tables based on related fields, allowing the analyst to select specific columns from each table in a single result set.


NEW QUESTION # 75
A teaching administrator wants to measure the distribution of student scores in a class. Which of the following statistical measures should the administrator use?

Answer: A

Explanation:
Standard deviation measures how spread out the student scores are around the mean, providing a clear indication of the distribution of scores.


NEW QUESTION # 76
A data analyst needs to access data from the last ten years to develop a report. Which of the following should the analyst do to develop the report without affecting the system's performance?

Answer: A

Explanation:
Creating a snapshot of the required historical data and performing the analysis in an isolated environment allows the analyst to work with the necessary ten years of data without placing additional load on the production system. This approach minimizes the impact on system performance while providing a stable dataset for reporting and analysis.


NEW QUESTION # 77
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