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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Concepts and Environments | 15% | - Data storage systems and platforms - Data types, structures, and file formats - Data lifecycle and data ecosystems |
| Topic 2: Data Governance, Quality, and Controls | 15% | - Compliance, privacy, and security controls - Data quality management - Data governance frameworks and policies |
| Topic 3: Data Analysis | 25% | - Trend and pattern identification - Statistical methods and analysis techniques - Data interpretation and reporting |
| Topic 4: Data Mining | 25% | - Data manipulation and cleaning techniques - Data processing and transformation - Data collection and extraction methods |
| Topic 5: Visualization | 20% | - Data storytelling and reporting tools - Visualization best practices - Chart and dashboard design principles |
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NEW QUESTION # 128
After a database upgrade, a report using datetime calculations does not complete due to an arithmetic overflow error. Which of the following is the best way for a data analyst to troubleshoot the issue?
Answer: C
Explanation:
Arithmetic overflow in datetime calculations typically occurs when the data type cannot handle the computed value, so verifying that the columns use appropriate datetime or numeric data types is the most effective way to troubleshoot the issue.
NEW QUESTION # 129
A data analyst needs to remove all duplicate values between two tables, "Employees" and "Managers," using SQL SELECT statements. Which of the following should the analyst use for this task?
Answer: D
Explanation:
This question pertains to theData Acquisition and Preparationdomain, focusing on combining and deduplicating data using SQL. The task is to remove duplicates between two tables, meaning the analyst needs a unique set of records from both.
* SELECT * FROM Employees UNION ALL SELECT * FROM Managers (Option A): UNION ALL combines all rows from both tables, including duplicates, which doesn't meet the requirement.
* SELECT * FROM Employees UNION SELECT * FROM Managers (Option B): UNION combines rows from both tables and automatically removes duplicates, providing a unique set of records, which fits the task.
* SELECT * FROM Employees JOIN SELECT * FROM Managers (Option C): This syntax is incorrect; a JOIN requires an ON clause, and it wouldn't remove duplicates.
* SELECT * FROM Employees CROSS JOIN SELECT * FROM Managers (Option D): A CROSS JOIN creates a Cartesian product, resulting in all possible combinations, not removing duplicates.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," and UNION is the correct SQL operation for combining tables while removing duplicates.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.
NEW QUESTION # 130
Which of the following is the most efficient to use when programming repeatable tasks?
Answer: C
Explanation:
Robotic process automation is designed to automate repetitive, rule-based tasks, making it the most efficient choice for repeatable processes.
NEW QUESTION # 131
An analyst is building a reporting deck. The deck must include tracking and visualizing metrics and row-level security. Which of the following actions should the analyst take after meeting all of the requirements?
Answer: B
NEW QUESTION # 132
The human resources department wants to understand the relationship between the ages and incomes of all employees. Which of the following graphics is the most appropriate to present the analysis?
Answer: D
Explanation:
A scatter plot is used to visualize the relationship between two numerical variables, such as age and income, allowing patterns or correlations to be identified.
NEW QUESTION # 133
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