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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
  • 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 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 4
  • 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 (Q99-Q104):

NEW QUESTION # 99
A data analyst learns that a report detailing employee sales is reflecting sales only for the current month.
Which of the following is the most likely cause?

Answer: A

Explanation:
This question falls under theData Analysisdomain, focusing on troubleshooting issues in data reports. The report should show all employee sales but is limited to the current month, suggesting a data retrieval issue.
* Lack of permissions (Option A): Permissions issues would likely prevent access entirely, not limit data to the current month.
* An error in SQL code (Option B): The report likely uses an SQL query to retrieve data, and an error (e.g., a WHERE clause filtering for the current month) could restrict the data to the current month, making this the most likely cause.
* Report refresh failure (Option C): A refresh failure would result in outdated data, not specifically current-month data.
* Connectivity issues (Option D): Connectivity issues would likely prevent the report fromrunning, not limit it to a specific time frame.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and errors in SQL code are a common cause of incorrect data retrieval in reports.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 100
Given the following data set:

Which of the following is the median?

Answer: C

Explanation:
The test scores are 35, 76, 91, 45, 72, and 83. When sorted, they become 35, 45, 72, 76, 83, 91.
Since there are six values, the median is the average of the two middle values: (72 + 76) ÷ 2 =
74.


NEW QUESTION # 101
A data analyst is cleaning up a data set that contains images. The analysts wants to keep everything that was produced within the last 12 months. Which of the following best describes where the analyst should check for the date of creation on these products?

Answer: A

Explanation:
Metadata contains descriptive information about each file or image, including attributes such as creation date, modification date, file size, and format. To determine which images were produced within the last 12 months, the analyst should examine the metadata of each item rather than the creation date of the dataset or folder containing the files.


NEW QUESTION # 102
A financial firm gives an analyst a set of requirements for a sales dashboard. The analyst creates a product using sample data and other components to show the firm how the product will most likely look. Which of the following best explains the analyst's approach?

Answer: B

Explanation:
Creating a mock-up with sample data allows stakeholders to review the proposed design, provide feedback, and confirm that requirements are correctly understood before full development.


NEW QUESTION # 103
A developer builds an online survey that requires all questions to have an answer. Which of the following inconsistencies does this setting prevent?

Answer: D

Explanation:
This question pertains to theData Governancedomain, focusing on data quality and consistency in survey design. Requiring all questions to have an answer ensures a specific type of data quality.
* Missing values (Option A): Requiring answers prevents missing values (NULLs or blanks) in the survey responses, which is the primary inconsistency this setting addresses.
* Duplication (Option B): Duplication refers to repeated records, not prevented by requiring answers.
* Data corruption (Option C): Data corruption involves damaged or altered data, not related to missing answers.
* Completeness (Option D): Completeness is the concept of having all necessary data, but "missing values" is the specific inconsistency prevented here.
The DA0-002 Data Governance domain includes "data quality control concepts," and preventing missing values ensures data integrity in survey responses.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 104
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