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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 20% | - Validation and accuracy of reports - Dashboard and report development - Communicating insights to stakeholders - Design principles for effective visualizations |
| Topic 2: Data Governance, Quality, and Management | 14% | - Data quality standards and monitoring - Data privacy, security, and compliance - Data governance frameworks and policies - Data lifecycle management and documentation |
| Topic 3: Data Analysis | 24% | - Data modeling and pattern recognition - Exploratory and confirmatory data analysis - Statistical methods and techniques - Analytical tools and querying languages |
| Topic 4: Data Concepts and Environments | 20% | - Foundational concepts of AI and machine learning in data - Data types, structures, and formats - Cloud and distributed data environments - Database systems and architectures |
| Topic 5: Data Acquisition and Preparation | 22% | - Data extraction, transformation, and loading (ETL/ELT) - Data collection methods and sources - Data cleaning, validation, and quality improvement - Data integration and normalization |
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NEW QUESTION # 159
A report triggers an error that prevents information from being displayed. However, the report was functional before a database upgrade. Which of the following should a data analyst do first to troubleshoot the problem?
Answer: C
Explanation:
This question falls under theData Concepts and Environmentsdomain, which in DA0-002 involves understanding database environments, connections, and troubleshooting issues related to data access. The scenario describes a report failing after a database upgrade, indicating a potential issue with the database environment or connectivity.
* Ensure the system has permissions for the report service (Option A): While permissions issues can cause report failures, they are less likely to be the first issue after a database upgrade unless explicitly mentioned.
* Change the report's refresh rate (Option B): Refresh rate adjustments might address performance issues but won't resolve a fundamental error preventing data display.
* Verify the connection to the database (Option C): A database upgrade often involves changes to connection strings, drivers, or network configurations. Verifying the connection ensures the report can access the database, making this the most logical first step.
* Check whether the data structures were modified (Option D): While possible, checking data structures (e.g., schema changes) is a deeper troubleshooting step that should follow after confirming basic connectivity.
The DA0-002 Data Concepts and Environments domain includes understanding database connectivity, similar to DA0-001's focus on "data schemas and dimensions" and environments (web ID: 1). Verifying the connection is the first recommended step in troubleshooting post-upgrade issues.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments
NEW QUESTION # 160
A data analyst needs to join data from two tables in a way that all data from one table is shown even if a matching row is not in the other table. Which of the following should the analyst use to achieve the desired output?
Answer: C
Explanation:
A right outer join returns all records from one table while including matching records from the other table when available, ensuring all data from the specified table is preserved even without matches.
NEW QUESTION # 161
Which of the following best describes the storage type that provides a unique identifier and metadata information?
Answer: A
Explanation:
Object storage stores data as objects, with each object containing the data itself, a unique identifier, and metadata that describes the object. This structure makes object storage highly scalable and well suited for managing large amounts of unstructured data.
NEW QUESTION # 162
Software end users are happy with the quality of product support provided. However, they frequently raise concerns about the long wait time for resolutions. An IT manager wants to improve the current support process. Which of the following should the manager use for this review?
Answer: D
Explanation:
This question falls under theData Analysisdomain, focusing on methods to gather data for process improvement. The IT manager needs to review user concerns about wait times, which requires collecting feedback.
* Infographic (Option A): An infographic visualizes data but isn't a method for gathering feedback.
* KPI (Option B): KPIs (e.g., average resolution time) measure performance but don't directly gather user feedback.
* Survey (Option C): A survey collects detailed feedback from users about their experiences, such as wait times, making it the best method for this review.
* UAT (Option D): User Acceptance Testing validates software functionality, not support processes.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and surveys are a standard method for collecting user feedback to analyze and improve processes.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 163
A company reports on seven years of data in a sales dashboard. The dashboard pulls from a sales database that has 30 years of data. The dashboard performance is slow. Which of the following is the best way to improve the dashboard's performance?
Answer: C
NEW QUESTION # 164
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