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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
  • 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
  • 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.

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CompTIA Data+ Exam Sample Questions (Q131-Q136):

NEW QUESTION # 131
A data analyst wants to understand several datasets at the variable level. Which of the following should the analyst consult to find this information?

Answer: A

Explanation:
This question pertains to theData Concepts and Environmentsdomain, focusing on documentation for understanding datasets. The analyst needs variable-level details (e.g., field definitions), which points to a specific type of documentation.
* Data lineage (Option A): Data lineage tracks data flow and transformations, not variable definitions.
* Data dictionary (Option B): A data dictionary provides detailed information about variables (e.g., name, type, description), which is exactly what the analyst needs.
* Data flow diagram (Option C): A data flow diagram shows data movement, not variable-level details.
* Data versioning (Option D): Data versioning tracks changes to datasets, not variable definitions.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and a data dictionary is the primary tool for variable-level information.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 132
Which of the following situations best describes an unclear and inconsistent column definition that can lead to an enabled analysis process?

Answer: B

Explanation:
An undefined field refers to unclear or inconsistent column definitions that can cause confusion and hinder effective data analysis.


NEW QUESTION # 133
Which of the following data repositories stores unstructured and structured data?

Answer: C

Explanation:
This question falls under theData Concepts and Environmentsdomain of CompTIA Data+ DA0-002, which involves understanding different types of data repositories and their characteristics. The task is to identify a repository that can store both unstructured and structured data.
* Data store (Option A): A data store is a general term for any data repository, but it's not specific enough to confirm it stores both unstructured and structured data.
* Data silo (Option B): A data silo is an isolated data repository, often structured, and not typically designed for unstructured data.
* Data mart (Option C): A data mart is a subset of a data warehouse, focused on structured data for specific business areas, not unstructured data.
* Data lake (Option D): A data lake is a centralized repository that stores raw data in its native format, including both structured (e.g., tables) and unstructured (e.g., text, images) data, making it the correct choice.
The DA0-002 Data Concepts and Environments domain includes understanding "different types of databases and data repositories," and a data lake is specifically designed to handle both unstructured and structured data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.


NEW QUESTION # 134
A data analyst has a dashboard that shows weekly data. For the past few weeks, the data has not updated.
Which of the following is the best way to confirm that the data is current?

Answer: A


NEW QUESTION # 135
A data analyst is creating a document that covers the guidelines and transformation of the suite of sales dashboards that they are responsible for delivering. Which of the following is the analyst most likely creating?

Answer: A

Explanation:
Data lineage documents how data is transformed, processed, and flows through systems, including the steps and rules applied to create outputs such as dashboards.


NEW QUESTION # 136
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