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| Section | Weight | Objectives |
|---|---|---|
| Data Mining | 25% | - Data processing and transformation - Data collection and extraction methods - Data manipulation and cleaning techniques |
| Data Concepts and Environments | 15% | - Data types, structures, and file formats - Data storage systems and platforms - Data lifecycle and data ecosystems |
| Visualization | 20% | - Chart and dashboard design principles - Visualization best practices - Data storytelling and reporting tools |
| Data Governance, Quality, and Controls | 15% | - Compliance, privacy, and security controls - Data quality management - Data governance frameworks and policies |
| Data Analysis | 25% | - Data interpretation and reporting - Trend and pattern identification - Statistical methods and analysis techniques |
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NEW QUESTION # 205
A data analyst is analyzing the following dataset:
Transaction Date
Quantity
Item
Item Price
12/12/12
11
USB Cords
9.99
11/11/11
3
Charging Block
8.89
10/10/10
5
Headphones
50.15
Which of the following methods should the analyst use to determine the total cost for each transaction?
Answer: A
Explanation:
This question falls under theData Analysisdomain, focusing on calculating new values from existing data.
The task is to determine the total cost per transaction, which involves multiplying Quantity by Item Price.
* Parsing (Option A): Parsing involves breaking down data (e.g., splitting a string), not calculating totals.
* Scaling (Option B): Scaling adjusts numerical values to a common range (e.g., normalization), not relevant for calculating totals.
* Compressing (Option C): Compressing reduces data size, not applicable to calculating costs.
* Deriving (Option D): Deriving involves creating new data fields by performing calculations on existing ones (e.g., Total Cost = Quantity ร Item Price), which fits the task.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," such as deriving new fields through calculations to analyze data.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.
NEW QUESTION # 206
A data analyst is creating a report about cars sold within the last twelve months. The current data set only contains information from the last ten months. Which of the following is the most appropriate way to accomplish this task?
Answer: C
NEW QUESTION # 207
A data analyst pulls a table similar to the following one:
Which of the following best explains the data issue with TypeID?
Answer: D
Explanation:
The TypeID column contains information that is already present in the Type column. Values such as "Full Time 1", "Part Time 2", and "Full Time 3" repeat the employment type while adding an identifier, resulting in unnecessary duplication of information. This is an example of redundancy because the same data is being stored in multiple places.
NEW QUESTION # 208
A recent server migration applied an update to dataset naming conventions. Multiple users are now reporting stale information in an existing dashboard. The date in the dataset confirms a successful data refresh. Which of the following should a data analyst do first?
Answer: C
NEW QUESTION # 209
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: B
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 # 210
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