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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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 (Q175-Q180):

NEW QUESTION # 175
Which of the following best describes the semi-structured data that is gathered when web scraping?

Answer: B


NEW QUESTION # 176
Which of the following data repositories stores unformatted data in its original, raw form?

Answer: A

Explanation:
A data lake stores data in its raw, unstructured or semi-structured form without requiring predefined schemas, allowing flexible processing and analysis later.


NEW QUESTION # 177
Which of the following is the best tool for database management?

Answer: A

Explanation:
Toad is a database management tool specifically designed for working with databases, including querying, administration, performance tuning, and database development. The other options are primarily development, programming, or data science environments rather than dedicated database management tools.


NEW QUESTION # 178
Which of the following AI types is the best option for time-series forecasting?

Answer: D

Explanation:
Foundation models are the best option because they can be adapted for a wide range of predictive tasks, including time-series forecasting. These models are trained on large datasets and can identify patterns over time to generate forecasts for future values.


NEW QUESTION # 179
A grocery store wants to view the revenue from the previous year, highlighting individual departments. Which of the following is the most appropriate chart to communicate this information?

Answer: D

Explanation:
An area chart is well suited for displaying revenue over a period of time while also showing the contribution of individual departments to the total. It allows viewers to see overall revenue trends from the previous year and compare how each department contributed to those totals.


NEW QUESTION # 180
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