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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: Visualization | 20% | - Visualization best practices - Chart and dashboard design principles - Data storytelling and reporting tools |
| Topic 3: Data Analysis | 25% | - Trend and pattern identification - Statistical methods and analysis techniques - Data interpretation and reporting |
| Topic 4: Data Governance, Quality, and Controls | 15% | - Compliance, privacy, and security controls - Data governance frameworks and policies - Data quality management |
| Topic 5: Data Mining | 25% | - Data collection and extraction methods - Data manipulation and cleaning techniques - Data processing and transformation |
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NEW QUESTION # 201
Which of the following statistical measures is the most suitable and simple measure of the strengthsimple measure of the strength and direction of the linear relationship between price and volume?
Answer: A
Explanation:
Correlation measures both the strength and direction of a linear relationship between two variables, such as price and volume.
NEW QUESTION # 202
A company wants to limit an employee's access to a production environment. Which of the following access control practices is the best to implement?
Answer: A
Explanation:
This question falls under theData Governancedomain, focusing on access control practices for data security.
The task is to limit an employee's access to a production environment, requiring a structured approach.
* Mandatory (Option A): Mandatory access control (MAC) uses strict, system-enforced rules (e.g., military settings), but it's overly rigid for most companies.
* Time-based (Option B): Time-based access limits access to specific times, which doesn't address general production environment access.
* Attribute-based (Option C): Attribute-based access control (ABAC) uses attributes (e.g., department, location), but it's complex and not the simplest solution.
* Role-based (Option D): Role-based access control (RBAC) assigns permissions based on the employee's role, ensuring they only access what's needed for their job, making it the best practice for limiting production access.
The DA0-002 Data Governance domain includes "data privacy concepts," and role-based access control is a widely adopted practice for limiting access in production environments.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.
NEW QUESTION # 203
A company needs to display sales numbers on the intranet. This solution needs to be updated every day before the workday starts. Which of the following is the best solution to meet this objective?
Answer: C
Explanation:
A dynamic dashboard that refreshes nightly automatically updates the displayed sales data before employees begin work each day. This provides current information on the intranet without requiring manual report generation or distribution, making it the most efficient and reliable solution.
NEW QUESTION # 204
A business intelligence analyst is creating an employee retention dashboard that looks at data from the last five years. The analyst is interested in identifying patterns that can be studied further. Which of the following is the best method to apply to the dashboard?
Answer: A
Explanation:
Descriptive analytics summarizes historical data to identify trends, patterns, and relationships.
Since the analyst is examining employee retention data from the last five years to discover patterns for further study, descriptive analytics is the most appropriate method.
NEW QUESTION # 205
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: A
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 # 206
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