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| Section | Weight | Objectives |
|---|---|---|
| Data Concepts and Environments | 15% | - Data lifecycle and data ecosystems - Data types, structures, and file formats - Data storage systems and platforms |
| Data Mining | 25% | - Data manipulation and cleaning techniques - Data collection and extraction methods - Data processing and transformation |
| Data Analysis | 25% | - Statistical methods and analysis techniques - Data interpretation and reporting - Trend and pattern identification |
| Data Governance, Quality, and Controls | 15% | - Data governance frameworks and policies - Compliance, privacy, and security controls - Data quality management |
| Visualization | 20% | - Chart and dashboard design principles - Visualization best practices - Data storytelling and reporting tools |
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NEW QUESTION # 123
A company's entire server environment is located at the company's headquarters. Which of the following describes this type of environment?
Answer: D
Explanation:
An on-premises environment means that the organization's servers, hardware, and supporting infrastructure are physically located and managed at the company's own facilities. Since the entire server environment is housed at the company's headquarters, it is an on-premises deployment.
NEW QUESTION # 124
A sales analyst is using the following table to produce a report on January sales data:
Month
Sales
Year
Product
Jan
4324563
2024
Chair
Jan
23345
2024
Table
Jan
2456897
2024
Sofa
Jan
345456
2024
Desk
Jan
23345
2024
Table
Which of the following inconsistencies is present in the data set?
Answer: C
NEW QUESTION # 125
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 # 126
Which of the following AI types is the best option for time-series forecasting?
Answer: A
Explanation:
Foundation models are the best option because they can be adapted for a wide range of predictive tasks, including time-series forecasting. These models are trained on large datasets and can identify patterns over time to generate forecasts for future values.
NEW QUESTION # 127
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:
This question falls under theData Analysisdomain, focusing on analytical methods for dashboards. The analyst wants to identify patterns in historical data for further study, which points to a specific type of analytics.
* Predictive (Option A): Predictive analytics forecasts future outcomes, not focused on identifying patterns for further study.
* Prescriptive (Option B): Prescriptive analytics provides recommendations, which goes beyond identifying patterns.
* Diagnostic (Option C): Diagnostic analytics examines historical data to identify patterns, trends, and correlations, enabling further investigation, which fits the scenario.
* Descriptive (Option D): Descriptive analytics summarizes what happened but doesn't focus on identifying patterns for deeper study.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and diagnostic analytics is best for pattern identification in historical data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 128
......
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