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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 5.0 Data Governance, Quality, and Controls
Topic 3
  • 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 4
  • 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 5
  • This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.

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CompTIA Data+ Exam Sample Questions (Q56-Q61):

NEW QUESTION # 56
A senior manager needs a report that can be generated and accessed at any time. Which of the following delivery methods should a data analyst use?

Answer: A

Explanation:
This question is part of theVisualization and Reportingdomain, focusing on report delivery methods. The requirement for a report that can be generated and accessed at any time suggests user-driven access.
* Ad hoc (Option A): Ad hoc reports are one-time, on-demand reports, not designed for anytime access by the user.
* Dynamic (Option B): Dynamic reports allow interactivity but don't necessarily imply user-generated access at any time.
* Self-service (Option C): Self-service reporting allows users (e.g., the senior manager) to generate and access reports on-demand at any time, fitting the requirement.
* Static (Option D): Static reports are fixed and don't allow on-demand generation by the user.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and self-service is ideal for anytime access.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 57
A data analyst wants to analyze sales data for possible customer patterns. Which of the following should the analyst use to complete this task?

Answer: A

Explanation:
Clustering is a data analysis technique that groups customers or transactions with similar characteristics. By identifying these natural groupings within sales data, the analyst can discover customer patterns, behaviors, and trends that may not be immediately apparent.


NEW QUESTION # 58
Hotspot Question
The director of operations at a power company needs data to help identify where company resources should be allocated in order to monitor activity for outages and restoration of power in the entire state. Specifically, the director wants to see the following:
- County outages
- Status
- Overall trend of outages
INSTRUCTIONS
Select each visualization to fit the appropriate space on the dashboard. Once you have selected all visualizations, use the drop-down menus to select the appropriate dashboard titles and axis labels, if applicable.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.


Answer:

Explanation:


NEW QUESTION # 59
A data analyst is creating a new dataset that involves bringing together the following datasets:

Which of the following would be the output if the data analyst does a FULL JOIN?

Answer: B

Explanation:
A FULL JOIN returns all records from both tables. Matching records are combined based on the common ID field, while nonmatching records from either table are still included with null or blank values for the missing columns.
In the source data:
ID 23525 exists in both tables, so Frank is combined with the Chicago address.
ID 11290 exists in both tables, so Martha is combined with the Miami address.
ID 12141 exists only in the first table, so Ellen appears with blank address information.
ID 11040 exists only in the second table, so the address record appears with blank name and date-of-birth information.


NEW QUESTION # 60
Given the following tables:

Which of the following is the best option to display output from FirstName and LastName as FullName?

Answer: C

Explanation:
Concatenation combines multiple text fields into a single field, allowing FirstName and LastName to be merged into FullName.


NEW QUESTION # 61
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