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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance, Quality, and Management | 14% | - Data privacy, security, and compliance - Data quality standards and monitoring - Data governance frameworks and policies - Data lifecycle management and documentation |
| Topic 2: Visualization and Reporting | 20% | - Dashboard and report development - Communicating insights to stakeholders - Validation and accuracy of reports - Design principles for effective visualizations |
| Topic 3: Data Analysis | 24% | - Exploratory and confirmatory data analysis - Data modeling and pattern recognition - Analytical tools and querying languages - Statistical methods and techniques |
| Topic 4: Data Acquisition and Preparation | 22% | - Data cleaning, validation, and quality improvement - Data collection methods and sources - Data extraction, transformation, and loading (ETL/ELT) - Data integration and normalization |
| Topic 5: Data Concepts and Environments | 20% | - Cloud and distributed data environments - Data types, structures, and formats - Foundational concepts of AI and machine learning in data - Database systems and architectures |
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NEW QUESTION # 28
An analyst needs to produce a final dataset using the following tables:
The expected output should be formatted as follows:
| CourseID | SectionNumber | StudentID | FirstName | LastName |
Which of the following actions is the best way to produce the requested output?
Answer: D
NEW QUESTION # 29
A recent server migration applied an update to dataset naming conventions. Multiple users are now reporting stale information in an existing dashboard. The date in the dataset confirms a successful data refresh. Which of the following should a data analyst do first?
Answer: B
NEW QUESTION # 30
Given the following data set:
Which of the following is the median?
Answer: B
Explanation:
The test scores are 35, 76, 91, 45, 72, and 83. When sorted, they become 35, 45, 72, 76, 83, 91.
Since there are six values, the median is the average of the two middle values: (72 + 76) ÷ 2 =
74.
NEW QUESTION # 31
A sales analyst is using the following table to produce a report on January sales data:
Which of the following inconsistencies is present in the data set?
Answer: D
Explanation:
The record for "Table" in January with the same sales value appears more than once, indicating duplicate entries in the dataset.
NEW QUESTION # 32
A data analyst receives an email from the IT department about renewing the company password, and the analyst follows the password reset link as required. Later in the week, the analyst receives the following notification when running a recurring analysis that connects to the database:
Log-in failed for user '<username>'
Which of the following is most likely the reason for this issue?
Answer: C
Explanation:
This question falls under theData Governancedomain, focusing on data access and security troubleshooting.
The analyst reset their password, but the recurring analysis failed to log in, indicating a mismatch.
* The company changed its database authentication method (Option A): This would affect all users, not just the analyst, and there's no indication of a broader change.
* The password expiration process locked the account (Option B): The analyst reset the password as required, so the account isn't likely locked due to expiration.
* The analyst did not change the password used to launch the report (Option C): Recurring analyses often use stored credentials. If the analyst updated their password but didn't update the stored credentials for the analysis, the login would fail, making this the most likely reason.
* The company is experiencing issues with password replication (Option D): This is possible but less likely without evidence of broader system issues.
The DA0-002 Data Governance domain includes "data privacy concepts," and ensuring stored credentials match updated passwords is a common issue in recurring analyses.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 33
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