DA0-002 Study Material - DA0-002 Valid Study Questions

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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
  • 5.0 Data Governance, Quality, and Controls
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
  • 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 5
  • 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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DA0-002 Valid Study Questions - Learning DA0-002 Mode

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CompTIA Data+ Exam Sample Questions (Q11-Q16):

NEW QUESTION # 11
A data analyst is building a new report on sales data. The analyst wants to find the total sales per channel, but only for those channels which have a total sales higher than 20.0. Given the following:

Which of the following should the analyst use?

Answer: C

Explanation:
To find the total sales per channel, the query must aggregate sales values using SUM(VALUE) and group the results by channel. Because the requirement is to return only channels whose total sales exceed 20.0, the aggregate result must be filtered with a HAVING clause. HAVING SUM(VALUE) > 20.0 correctly filters the grouped totals after aggregation.


NEW QUESTION # 12
Which of the following best describes the purpose of a primary key?

Answer: D

Explanation:
A primary key uniquely identifies each row in a table. It ensures that every record can be distinguished from all others and prevents duplicate entries for the key field, maintaining data integrity within the table.


NEW QUESTION # 13
Which of the following data repositories should a company use when structured data about the whole company needs to be stored in a predefined data structure?

Answer: B

Explanation:
A data warehouse is designed to store structured data from across an entire organization in a predefined schema. It integrates data from multiple sources, supports enterprise-wide reporting and analytics, and provides a consistent view of business information.


NEW QUESTION # 14
A data engineer needs to create a reporting solution that has predefined filters and the ability to download .csv files. Which of the following is the best solution?

Answer: C

Explanation:
A self-service portal allows users to apply predefined filters and export data such as CSV files on demand, meeting both flexibility and usability requirements.


NEW QUESTION # 15
Which of the following supports capabilities such as automatic versioning, corruption checks, KPIs, and user authentication?

Answer: A

Explanation:
This question falls under theData Governancedomain, focusing on tools that support data management and quality control features. The task is to identify a tool with capabilities like versioning, corruption checks, KPIs, and authentication.
* Notebook (Option A): Notebooks (e.g., Jupyter) are for data analysis and coding but don't inherently support versioning, corruption checks, or authentication.
* REST API (Option B): REST APIs enable data access but don't provide versioning or corruption checks as a primary function.
* Pipeline (Option C): Data pipelines automate data workflows but don't typically include versioning or authentication.
* Source control (Option D): Source control systems (e.g., Git) support automatic versioning (tracking changes), corruption checks (integrity verification), KPIs (e.g., commit frequency), and user authentication (access control), making this the best fit.
The DA0-002 Data Governance domain includes "data quality control concepts," and source control systems provide the listed capabilities to ensure data integrity and security.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 16
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