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| Section | Weight | Objectives |
|---|---|---|
| Visualization and Reporting | 20% | - Dashboard and report development - Design principles for effective visualizations - Validation and accuracy of reports - Communicating insights to stakeholders |
| 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 |
| Data Analysis | 24% | - Data modeling and pattern recognition - Analytical tools and querying languages - Statistical methods and techniques - Exploratory and confirmatory data analysis |
| Data Acquisition and Preparation | 22% | - Data extraction, transformation, and loading (ETL/ELT) - Data cleaning, validation, and quality improvement - Data integration and normalization - Data collection methods and sources |
| Data Concepts and Environments | 20% | - Database systems and architectures - Foundational concepts of AI and machine learning in data - Cloud and distributed data environments - Data types, structures, and formats |
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NEW QUESTION # 145
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: C
NEW QUESTION # 146
A data analyst is following up on a recent, company-wide data audit of customer invoice data.
Which of the following is the best option for the analyst to use?
Answer: D
NEW QUESTION # 147
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 # 148
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?
Answer: C
Explanation:
This question falls under theData Acquisition and Preparationdomain, focusing on combining data from multiple tables. The analyst needs specific columns from each table, suggesting a method to combine data horizontally based on relationships.
* Aggregate (Option A): Aggregation (e.g., SUM, COUNT) summarizes data, not suitable for combining columns from tables.
* Union (Option B): Union stacks tables vertically, requiring identical structures, but the analyst needs specific columns, likely based on relationships, not a vertical stack.
* Nest (Option C): Nesting is used for hierarchical data (e.g., JSON), not for combining relational tables.
* Join (Option D): A join (e.g., INNER JOIN) combines tables horizontally based on a common key, allowing the analyst to select specific columns from each table, which fits the task.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and joining tables is the best method for combining specific columns from multiple tables.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.
NEW QUESTION # 149
An analyst needs to create a collection of dashboards for multiple teams within the organization.
Which of the following should the analyst do first before starting the project?
Answer: B
Explanation:
Understanding user personas ensures the dashboards are designed to meet the needs, roles, and expectations of different teams before defining metrics, delivery, or access.
NEW QUESTION # 150
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