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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 5.0 Data Governance, Quality, and Controls

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CompTIA Data+ Exam Sample Questions (Q129-Q134):

NEW QUESTION # 129
Which of the following data sources makes online data consumption easier?

Answer: D

Explanation:
An application programming interface provides structured and standardized access to data, making it easier to retrieve and consume data from online services programmatically.


NEW QUESTION # 130
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: D

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 # 131
A data analyst creates a report, and some of the fields are empty. Which of the following conditions should the analyst add to a query to provide a list of all the records with empty fields?

Answer: A

Explanation:
In SQL, NULL represents a missing or unknown value and cannot be compared using the equals operator. The IS NULL condition is specifically designed to identify records where a column contains a NULL value, allowing the analyst to retrieve all records with empty fields.


NEW QUESTION # 132
A data analyst pulls a table similar to the following one:

Which of the following best explains the data issue with TypeID?

Answer: D

Explanation:
The TypeID column contains information that is already present in the Type column. Values such as "Full Time 1", "Part Time 2", and "Full Time 3" repeat the employment type while adding an identifier, resulting in unnecessary duplication of information. This is an example of redundancy because the same data is being stored in multiple places.


NEW QUESTION # 133
Software end users are happy with the quality of product support provided. However, they frequently raise concerns about the long wait time for resolutions. An IT manager wants to improve the current support process. Which of the following should the manager use for this review?

Answer: B


NEW QUESTION # 134
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