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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
  • 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
  • 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.
Topic 4
  • 5.0 Data Governance, Quality, and Controls

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CompTIA Data+ Exam Sample Questions (Q21-Q26):

NEW QUESTION # 21
A business intelligence analyst is creating an employee retention dashboard that looks at data from the last five years. The analyst is interested in identifying patterns that can be studied further. Which of the following is the best method to apply to the dashboard?

Answer: A

Explanation:
This question falls under theData Analysisdomain, focusing on analytical methods for dashboards. The analyst wants to identify patterns in historical data for further study, which points to a specific type of analytics.
* Predictive (Option A): Predictive analytics forecasts future outcomes, not focused on identifying patterns for further study.
* Prescriptive (Option B): Prescriptive analytics provides recommendations, which goes beyond identifying patterns.
* Diagnostic (Option C): Diagnostic analytics examines historical data to identify patterns, trends, and correlations, enabling further investigation, which fits the scenario.
* Descriptive (Option D): Descriptive analytics summarizes what happened but doesn't focus on identifying patterns for deeper study.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and diagnostic analytics is best for pattern identification in historical data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.


NEW QUESTION # 22
An analyst needs to create a collection of dashboards for multiple teams within their organization. Which of the following should the analyst do first before starting the project?

Answer: D

Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on the initial steps in dashboard creation. The analyst is starting a project for multiple teams, so understanding the audience is critical.
* Evaluate the user persona type for the dashboards (Option A): User personas define the needs, roles, and preferences of the audience (e.g., executives vs. analysts), which is the firststep to ensure the dashboards meet user requirements.
* Determine the number of team members who need to access the dashboards (Option B): This is important for access control but not the first step in design.
* Determine the delivery method of the dashboards (Option C): Delivery method (e.g., self-service) is decided later, after understanding user needs.
* Evaluate the KPIs for the dashboards (Option D): KPIs are defined after understanding the user personas and their goals.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and evaluating user personas is the first step in this process.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.


NEW QUESTION # 23
A data analyst's code is failing when the analyst attempts a large batch upload to a cloud database. The analyst checks the following:
- The database key is correct and embedded in the code.
- All classes and objects have been defined and called.
- The coding format in a text editor ensures syntax uniformity.
- Built-in and user-defined exceptions are responding appropriately.
- Print statements correctly identify the line where an error occurs.
- Online coding forums do not contain similar issues with resolutions.
Which of the following is the most appropriate next step to continue troubleshooting?

Answer: D

Explanation:
A peer review by a senior engineer provides expert insight and can identify issues that were not caught during individual troubleshooting, making it the most effective next step.


NEW QUESTION # 24
A data analyst needs to modify a dashboard that was created by another employee. Upon opening the dashboard, the analyst notices that the information is not loading properly. Which of the following should the analyst do to troubleshoot this error?

Answer: C

Explanation:
When a dashboard fails to load information properly, the first step is to verify that the dashboard's data connections are functioning correctly. Reviewing the data layer and data source helps identify broken connections, unavailable sources, or data retrieval issues that commonly prevent dashboard content from loading.


NEW QUESTION # 25
A data breach occurs at a company. Which of the following actions should be taken?

Answer: A

Explanation:
A data breach must be reported internally to management and then to appropriate regulatory authorities to ensure proper incident response, legal compliance, and coordinated communication.


NEW QUESTION # 26
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