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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 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
  • 5.0 Data Governance, Quality, and Controls
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 (Q67-Q72):

NEW QUESTION # 67
Before distributing a report, a marketing analyst notices that the total distinct promotional email messages is less than the combined total of emails sent. Which of the following is the most likely reason for this difference?

Answer: C


NEW QUESTION # 68
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: C

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 # 69
Which of the following best describes the function of a data flow diagram?

Answer: C

Explanation:
A data flow diagram illustrates how data moves through a system, including how it is collected, processed, stored, and output.


NEW QUESTION # 70
A data analyst is preparing a survey for Paralympic Games athletes. Which of the following should the analyst consider when creating this survey?

Answer: B

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on survey design considerations, particularly for accessibility. The survey is for Paralympic athletes, who may have visual impairments, requiring specific design considerations.
* Idioms (Option A): Idioms (e.g., colloquial phrases) might confuse non-native speakers, but they're not a primary survey design concern for Paralympic athletes.
* Color contrast (Option B): High color contrast ensures readability for athletes with visual impairments (e.g., color blindness), a critical accessibility consideration for Paralympic surveys.
* Refresh speed (Option C): Refresh speed is relevant for dashboards, not static surveys.
* Granularity (Option D): Granularity refers to data detail levels, not a survey design consideration.
The DA0-002 Visualization and Reporting domain includes "translating business requirements to form the appropriate visualization," and color contrast is a key accessibility factor in survey design for diverse audiences.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 71
A company gives users adequate data access permissions to allow them to fulfill their duties but nothing more. Which of the following concepts best describes this practice?

Answer: B

Explanation:
The principle of least privilege grants users only the minimum access rights necessary to perform their job responsibilities. This reduces security risks by limiting access to data and systems that are not required for their duties.


NEW QUESTION # 72
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