CompTIA Data+ QUESTIONS AND ANSWERS |
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Domain 1: Data Concepts and Environments (15%)
1. A data analyst is asked to store large volumes of raw, unprocessed data from multiple sources, including
structured and unstructured formats. Which storage solution is MOST appropriate?
,A. Data warehouse
B. Data lake
C. Relational database
D. Data mart
Answer: B
Rationale: A data lake is designed to store large amounts of raw data in its native format, supporting both
structured and unstructured data. Data warehouses store processed, structured data for reporting, while data
marts are subsets of warehouses for specific departments .
2. Which schema design features a central fact table surrounded by denormalized dimension tables?
A. Snowflake schema
B. Star schema
C. Normalized schema
,D. Hierarchical schema
Answer: B
Rationale: A star schema consists of a central fact table connected to denormalized dimension tables. It is
simpler and more user-friendly, making it ideal for data marts and less technical users .
3. A smart thermometer collects temperature data every 30 minutes and logs it automatically. This is an example
of which type of data?
A. Structured data
B. Semi-structured data
C. Unstructured machine data
D. Transactional data
Answer: C
Rationale: Machine-generated data that is automatically logged is inherently unstructured. The thermometer
creates logs without a predefined data model .
, 4. Which data type represents values that can be counted and have distinct, separate values?
A. Continuous data
B. Discrete data
C. Categorical data
D. Nominal data
Answer: B
Rationale: Discrete data consists of countable values, such as number of customers or items sold. Continuous
data can take any value within a range .
5. A company needs to track historical changes to customer addresses while maintaining the current address.
Which concept addresses this requirement?
VERIFIED AND WELL DETAILED ANSWERS |
PLUS RATIONALES | GUARANTEED PASS |
LATEST EXAM UPDATE | EXAM PREP | STUDY
GUIDE | PRACTICE TEST
Domain 1: Data Concepts and Environments (15%)
1. A data analyst is asked to store large volumes of raw, unprocessed data from multiple sources, including
structured and unstructured formats. Which storage solution is MOST appropriate?
,A. Data warehouse
B. Data lake
C. Relational database
D. Data mart
Answer: B
Rationale: A data lake is designed to store large amounts of raw data in its native format, supporting both
structured and unstructured data. Data warehouses store processed, structured data for reporting, while data
marts are subsets of warehouses for specific departments .
2. Which schema design features a central fact table surrounded by denormalized dimension tables?
A. Snowflake schema
B. Star schema
C. Normalized schema
,D. Hierarchical schema
Answer: B
Rationale: A star schema consists of a central fact table connected to denormalized dimension tables. It is
simpler and more user-friendly, making it ideal for data marts and less technical users .
3. A smart thermometer collects temperature data every 30 minutes and logs it automatically. This is an example
of which type of data?
A. Structured data
B. Semi-structured data
C. Unstructured machine data
D. Transactional data
Answer: C
Rationale: Machine-generated data that is automatically logged is inherently unstructured. The thermometer
creates logs without a predefined data model .
, 4. Which data type represents values that can be counted and have distinct, separate values?
A. Continuous data
B. Discrete data
C. Categorical data
D. Nominal data
Answer: B
Rationale: Discrete data consists of countable values, such as number of customers or items sold. Continuous
data can take any value within a range .
5. A company needs to track historical changes to customer addresses while maintaining the current address.
Which concept addresses this requirement?
