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| Section | Weight | Objectives |
|---|---|---|
| Visualization | 20% | - Visualization best practices - Data storytelling and reporting tools - Chart and dashboard design principles |
| Data Analysis | 25% | - Statistical methods and analysis techniques - Data interpretation and reporting - Trend and pattern identification |
| Data Mining | 25% | - Data processing and transformation - Data manipulation and cleaning techniques - Data collection and extraction methods |
| Data Governance, Quality, and Controls | 15% | - Data quality management - Data governance frameworks and policies - Compliance, privacy, and security controls |
| Data Concepts and Environments | 15% | - Data types, structures, and file formats - Data storage systems and platforms - Data lifecycle and data ecosystems |
>> Exam DA0-002 Questions Pdf <<
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NEW QUESTION # 76
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: D
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 # 77
A data analyst receives a notification that a customized report is taking too long to load. After reviewing the system, the analyst does not find technical or operational issues. Which of the following should the analyst try next?
Answer: B
NEW QUESTION # 78
A data analyst is designing a report for the business review team. The team lists the following requirements for the report:
* Specific data points
* Color branding
* Labels and terminology
* Suggested charts and tables
Which of the following components is missing from the requirements?
Answer: D
Explanation:
This question falls under theVisualization and Reportingdomain of CompTIA Data+ DA0-002, which involves understanding the components necessary for designing a report. The given requirements cover data, visuals, and design, but a key aspect of report planning is missing.
* Source validation (Option A): Source validation ensures data accuracy, but it's typically part of the data preparation phase, not a report design requirement.
* Design elements (Option B): Color branding, labels, and terminology are design elements, so this is already included.
* Delivery method (Option C): The delivery method (e.g., recurring, ad hoc, self-service) specifies how the report will be distributed or accessed, which is a critical requirement missing from the list.
* Report type (Option D): Suggested charts and tables imply the report type (e.g., summary, dashboard), so this is indirectly covered.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization," and the delivery method is a key component of report planning that's missing here.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.
NEW QUESTION # 79
A data analyst is cleaning up a data set that contains images. The analysts wants to keep everything that was produced within the last 12 months. Which of the following best describes where the analyst should check for the date of creation on these products?
Answer: C
Explanation:
Metadata contains descriptive information about each file or image, including attributes such as creation date, modification date, file size, and format. To determine which images were produced within the last 12 months, the analyst should examine the metadata of each item rather than the creation date of the dataset or folder containing the files.
NEW QUESTION # 80
A data analyst notices that a certain field that stores customer IDs in a defined format has incorrect values. Which of the following could help the analyst identify the issue?
Answer: B
Explanation:
Validation checks ensure that data conforms to predefined formats, rules, or constraints, which helps identify incorrect values in fields such as customer IDs.
NEW QUESTION # 81
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