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CompTIA Data+ Certification Exam Sample Questions (Q223-Q228):

NEW QUESTION # 223
Q3 2020 has just ended, and now a data analyst needs to create an ad-hoc sales report that demonstrates how well the Q3 2020 promotion went versus last year's Q3 promotion.
Which of the following date parameters should the analyst use?

A. 2019 vs. YTD 2020
B. Q3 2019 vs. Q3 2020
C. Q4 2019 vs. Q3 2020
D. YTD 2019 vs. YTD 2020

Answer: B

Explanation:
Explanation
The date parameters that the analyst should use are Q3 2019 vs. Q3 2020, as this will allow the analyst to compare the sales performance of the Q3 2020 promotion with the same period of last year. This will help to eliminate any seasonal or cyclical effects that might affect the sales data. The other options are not relevant for this purpose, as they either compare different quarters or different years. Reference: CertMaster Practice for Data+ Exam Prep - CompTIA

NEW QUESTION # 224
You are working with a dataset and need to swap the values in rows with those in columns.
What action do you need to perform?

A. Transposition.
B. Aggregation.
C. Recording
D. Filtering.

Answer: A

Explanation:
Transpose creates a new data file in which the rows and columns in the original data file are transposed so that cases (rows) become variables and variables (columns) become cases. Transpose automatically creates new variable names and displays a list of the new variable names.
Transposing data is useful for data analysis. At times, we have to pull data from various files with different formats for analysis and preparing reports. In such circumstances, we may have to transpose some data from one file to the other. In excel, we can transpose data in multiple ways.

NEW QUESTION # 225
Which of the following is an example of discrete data?

A. The power consumption in a building
B. The temperature at a weather station
C. The amount of rain that falls in a storm
D. The number of employees at a company

Answer: D

Explanation:
Comprehensive and Detailed In-Depth Explanation:
Discrete data refers to countable, distinct values that cannot be subdivided meaningfully. These values are often whole numbers representing items that can be counted individually.
Option A:The number of employees at a company
* Rationale:This represents discrete data because employees can be counted as individual units. You cannot have a fraction of an employee; thus, the data is countable and discrete.
Option B:The amount of rain that falls in a storm
* Rationale:This represents continuous data, as rainfall can be measured in infinitely fine increments (e.
g., millimeters, inches). The amount can take any value within a range.
Option C:The temperature at a weather station
* Rationale:Temperature is continuous data because it can vary smoothly over a range and can be measured with fine precision (e.g., degrees Celsius or Fahrenheit).
Option D:The power consumption in a building
* Rationale:Power consumption is continuous data, as it can be measured in units that allow for fractional values (e.g., kilowatt-hours) and can vary continuously over time.

NEW QUESTION # 226
Which of the following is a process that is used during data integration to collect, blend, and load data?

A. BI
B. ETL
C. OLTP
D. MDM

Answer: B

NEW QUESTION # 227
Which of the following data manipulation techniques is an example of a logical function?

A. AGGREGATE
B. IF
C. BOOLEAN
D. WHERE

Answer: B

NEW QUESTION # 228
......

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