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| Topic | Details |
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| Topic 1 | - 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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| Topic 2 | - 5.0 Data Governance, Quality, and Controls
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| 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.
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| Topic 4 | - 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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| Topic 5 | - 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.
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CompTIA Data+ Exam Sample Questions (Q199-Q204):
NEW QUESTION # 199
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?
- A. Validate that the database is up-to-date.
- B. Review the data layer and data source.
- C. Ensure the correct filters are displaying on the dashboard.
- D. Check that the program is updated to the latest version.
Answer: B
Explanation:
This question falls under theData Governancedomain of CompTIA Data+ DA0-002, focusing on troubleshooting data quality issues in dashboards. The dashboard isn't loading properly, indicating a potential issue with the data connection or configuration.
* Review the data layer and data source (Option A): The data layer (e.g., queries, connections) and data source (e.g., database) are the foundation of a dashboard. If the information isn't loading, the issue likely lies in the data connection or query configuration, making this the first step.
* Validate that the database is up-to-date (Option B): While this might be a subsequent step, it assumes the connection is working, which should be confirmed first.
* Check that the program is updated to the latest version (Option C): Software updates might fix bugs, but this isn't the most immediate cause of data not loading.
* Ensure the correct filters are displaying on the dashboard (Option D): Filters affect data display, but if the data isn't loading at all, the issue is more fundamental.
The DA0-002 Data Governance domain includes "data quality control concepts," and reviewing the data layer and source is the primary step in troubleshooting dashboard loading issues.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 200
A manager wants a report that contains the days off for each direct report. The manager needs this report to always be up-to-date with the latest data. Which of the following describes the refresh frequency that the manager is requesting?
- A. Ad hoc
- B. Snapshot
- C. Dynamic
- D. Real-time
Answer: D
Explanation:
This question pertains to theVisualization and Reportingdomain, focusing on report refresh frequencies. The manager needs the report to always be up-to-date, implying continuous data updates.
* Real-time (Option A): Real-time refresh frequency ensures the report reflects the latest data as soon as it changes, which matches the requirement to "always be up-to-date."
* Ad hoc (Option B): Ad hoc reports are generated on-demand, not continuously updated.
* Snapshot (Option C): A snapshot captures data at a specific point in time, not suitable for always being up-to-date.
* Dynamic (Option D): Dynamic reports allow interactivity, but the term doesn't specifically imply real- time updates.
The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and real-time refresh frequency ensures the report is always current.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 201
Which of the following should a data analyst use to most efficiently gather recently released statistical information from one site?
- A. Surveys
- B. Web scraping
- C. Public databases
- D. Application programming interface
Answer: D
Explanation:
An application programming interface (API) provides an efficient, automated way to retrieve the latest statistical data directly from a site in a structured format.
NEW QUESTION # 202
A data analyst is creating a high-level report for the Chief Executive Officer. Which of the following data would most likely be included in the report?
- A. Employee names
- B. Year-to-date sales numbers
- C. Product barcode numbers
- D. Version number
Answer: B
Explanation:
Year-to-date sales numbers provide high-level performance insights appropriate for executive decision-making.
NEW QUESTION # 203
A data analyst is gathering data from multiple tables in a database. The analyst needs certain columns from each table. Which of the following is the best method to accomplish this task?
- A. Union
- B. Aggregate
- C. Nest
- D. Join
Answer: D
Explanation:
A join combines data from multiple tables based on related fields, allowing the analyst to select specific columns from each table in a single result set.
NEW QUESTION # 204
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