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| Section | Weight | Objectives |
|---|---|---|
| Data Analysis | 25% | - Trend and pattern identification - Data interpretation and reporting - Statistical methods and analysis techniques |
| Data Mining | 25% | - Data processing and transformation - Data collection and extraction methods - Data manipulation and cleaning techniques |
| Data Concepts and Environments | 15% | - Data storage systems and platforms - Data lifecycle and data ecosystems - Data types, structures, and file formats |
| Data Governance, Quality, and Controls | 15% | - Compliance, privacy, and security controls - Data governance frameworks and policies - Data quality management |
| Visualization | 20% | - Data storytelling and reporting tools - Chart and dashboard design principles - Visualization best practices |
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111. Frage
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?
Antwort: A
Begründung:
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.
112. Frage
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?
Antwort: B
Begründung:
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 × 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.
113. Frage
A data analyst is designing a report for a grocery chain and needs to include stores, product placement, and SKUs. Which of the following best describes the data management concept that the analyst is considering?
Antwort: C
Begründung:
Hierarchy describes the organization of data into levels or parent-child relationships. In this case, stores, product placement, and SKUs represent related levels within a structured business hierarchy, allowing the analyst to organize and report data according to those relationships.
114. Frage
Which of the following should a data analyst use to most efficiently gather recently released statistical information from one site?
Antwort: D
Begründung:
An application programming interface (API) provides an efficient, automated way to retrieve the latest statistical data directly from a site in a structured format.
115. Frage
Which of the following is found in metadata?
Antwort: C
Begründung:
This question pertains to the Data Concepts and Environments domain, focusing on the content of metadata. Metadata describes data attributes, and the task is to identify what it typically includes.
* Transformations (Option A): Transformations (e.g., data cleaning steps) are part of data lineage, not metadata.
* Data lineage (Option B): Data lineage tracks data flow and transformations, which is related to metadata but not a direct component.
* Syntax (Option C): Syntax refers to code structure, not a metadata component.
* Variable types (Option D): Metadata includes information about data fields, such as variable types (e.
g., integer, string), which is a standard component.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and metadata typically contains details like variable types to describe the dataset.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.
116. Frage
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