What is the most time-consuming of the practices that authorize international data transfers under GDPR?
Correct Answer: B
Question 52
An analyst is preparing a report that contains weather data. The temperatures are shown in Fahrenheit. but they must be reported in Celsius. Which of the following should the analyst do to fix this issue?
Correct Answer: C
Explanation The analyst should rescale the data to fix this issue. Rescaling is a process of transforming data from one scale to another, such as changing the units of measurement. In this case, the analyst needs to rescale the temperatures from Fahrenheit to Celsius, which are two different scales for measuring temperature. To do this, the analyst can use the following formula: Celsius = (Fahrenheit - 32) * 5/9 This formula converts each temperature value from Fahrenheit to Celsius by subtracting 32 and multiplying by 5/9. For example, if the temperature is 68°F, the rescaled value in Celsius is: Celsius = (68 - 32) * 5/9 Celsius = 20°C Rescaling the data can help the analyst to report the temperatures in a consistent and accurate way, and to avoid any confusion or errors that may arise from using different scales. Rescaling can also make the data more comparable and compatible with other data sources or standards that use the same scale12.
Question 53
You would like to measure how well an organization is achieving its goals. What type of analysis should you perform?
Correct Answer: A
Explanation Performance analysis is the technique of studying or comparing the performance of a specific situation in contrast to the aim and yet executed. In Human Resources, performance analysis can help to review an employee's contribution towards a project or assignment, which they allotted him or her.
Question 54
Given the following data set: Which of the following is the best reason for cleansing the data?
Correct Answer: A
Comprehensive and Detailed In-Depth Explanation: In data management,duplicate datarefers to identical records that appear multiple times within a dataset. Such duplicates can lead to inaccurate analyses, inflated metrics, and erroneous business decisions. Identifying and removing duplicate records is a critical step in the data cleansing process to ensure data quality and reliability. Option A:Duplicate data * Rationale:The dataset shows that the record with ID 376, Amount $400, and SKU ABV-DYH appears twice. This repetition indicates the presence of duplicate data, which can skew analysis results if not addressed. Option B:Imputed data * Rationale:Imputed data refers to missing or incomplete data that has been estimated or filled in based on other available information. There is no evidence in the provided dataset to suggest that any data has been imputed. Option C:Redundant data * Rationale:Redundant data involves unnecessary repetition of data across different fields or tables, leading to inefficiencies. While duplicate data is a form of redundancy, in this context, the specific issue is the exact repetition of entire records, making "duplicate data" the more precise term. Option D:Corrupt data * Rationale:Corrupt data refers to data that has been altered or damaged, making it incorrect or unusable. The dataset provided does not exhibit signs of corruption, such as garbled text or invalid formats.
Question 55
You have two databases tables that you would like to join together using a foreign key relationship. What term best describes this action?
Correct Answer: D
Data merging is the process of combining two or more data sets into a single data set. Most often, this process is necessary when you have raw data stored in multiple files, worksheets, or data tables, that you want to analyze all in one go.
