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NEW QUESTION # 30
While reviewing survey data, an analyst notices respondents entered "Jan," "January," and "01" as responses for the month of January. Which of the following steps should be taken to ensure data consistency?
- A. Filter on any of the responses that do not say "January" and update them to "January".
- B. Replace any of the responses that have "01".
- C. Sort any of the responses that say "Jan" and update them to "01".
- D. Delete any of the responses that do not have "January" written out.
Answer: A
NEW QUESTION # 31
What is NOT a characteristic of a good data steward?
- A. Influential.
- B. Collaborative.
- C. A good technology expert.
- D. A subject matter expert.
Answer: C
Explanation:
Provide the technical expertise around source systems, extract, transform, and load (ETL) processes, data stores, data warehouses, and Business intelligence tools.
NEW QUESTION # 32
An analyst is working with the income data of suburban families in the United States. The data set has a lot of outliers, and the analyst needs to provide a measure that represents the typical income. Which of the following would BEST fulfill the analyst's goal?
- A. Mean
- B. Mode
- C. Median
- D. Standard deviation
Answer: A
NEW QUESTION # 33 
Which of the following summary statements upholds integrity in data reporting?
- A. While Strategy 2 does not result in the highest sales of Product D. over all products it appears to be the most effective.
- B. Product D should be promoted more than the other products in all strategies.
- C. Sales are approximately equal for Product A and Product B across all strategies.
- D. Strategy 4 provides the best sales in comparison to other strategies.
Answer: A
Explanation:
Explanation
answer: C. While Strategy 2 does not result in the highest sales of Product D. over all products it appears to
be the most effective.
A summary statement that upholds integrity in data reporting should be accurate, unbiased, and supported by evidence. Option C is the only statement that meets these criteria, as it reflects the data shown in the bar graph without exaggerating or distorting it. Option C also acknowledges the limitation of the statement by using the word "appears", which indicates that there may be other factors or variables that affect the sales performance.
Option A is inaccurate, as sales are not approximately equal for Product A and Product B across all strategies.
Product A has higher sales than Product B in strategies 1, 3, and 5, while Product B has higher sales than Product A in strategies 2 and 4.
Option B is biased, as it does not consider the sales of different products in each strategy. Strategy 4 provides the best sales for Product B, but not for the other products. Strategy 5 has the highest total sales across all products, as shown by the black line graph.
Option D is unsupported by evidence, as it does not explain why Product D should be promoted more than the other products in all strategies. Product D has the lowest sales among all products in strategies 1, 3, and 4, and only slightly higher sales than Product C in strategies 2 and 5.
NEW QUESTION # 34
The number of phone calls that the call center receives in a day is an example of:
- A. categorical data.
- B. discrete data.
- C. ordinal data.
- D. continuous data.
Answer: B
Explanation:
Explanation
Discrete data is a type of data that can only take certain values, usually whole numbers or integers. Discrete data can be counted, but not measured. For example, the number of students in a class, the number of books in a library, or the number of phone calls that a call center receives in a day are all examples of discrete data.
Discrete data is different from continuous data, which can take any value within a range, and can be measured with precision. For example, the height of a person, the weight of a fruit, or the temperature of a room are all examples of continuous data. Therefore, the correct answer is D. References: [Discrete vs Continuous Data:
Definition and Examples - Statistics How To], [Discrete Data - Definition and Examples | Math Goodies]
NEW QUESTION # 35
The process of performing initial investigations on data to spot outliers, discover patterns, and test assumptions with statistical insight and graphical visualization is called:
- A. a link analysis.
- B. an exploratory data analysis.
- C. a t-test.
- D. a performance analysis.
Answer: B
Explanation:
Explanation
This is because exploratory data analysis is a type of process that performs initial investigations on data to spot outliers, discover patterns, and test assumptions with statistical insight and graphical visualization, such as box plots, histograms, scatter plots, etc. Exploratory data analysis can be used to understand and summarize the data, as well as to generate hypotheses or questions for further analysis or research. For example, exploratory data analysis can be used to identify and visualize the characteristics, features, or behaviors of the data, as well as to measure their distribution, frequency, or correlation. The other options are not types of processes that perform initial investigations on data to spot outliers, discover patterns, and test assumptions with statistical insight and graphical visualization. Here is what they mean:
A t-test is a type of statistical method that tests whether there is a significant difference between the means of two groups or samples, such as whether there is a difference between the average exam scores of two classes in this case. A t-test can be used to test or verify a claim or an assumption about the data, as well as to measure the confidence or the error of the estimation.
A performance analysis is a type of process that measures whether the data meets certain goals or objectives, such as targets, benchmarks, or standards. A performance analysis can be used to identify and visualize the gaps, deviations, or variations in the data, as well as to measure the efficiency, effectiveness, or quality of the outcomes. For example, a performance analysis can be used to determine if there is a gap between a student's test score and their expected score based on their previous performance.
A link analysis is a type of process that determines whether the data is connected to other datapoints, such as entities, events, or relationships. A link analysis can be used to identify and visualize the patterns, networks, or associations among the datapoints, as well as to measure the strength, direction, or frequency of the connections. For example, a link analysis can be used to determine if there is a connection between a customer's purchase history and their loyalty program status.
NEW QUESTION # 36
Which one of the following values will appear first if they are sorted in descending order?
- A. Adam.
- B. Molly.
- C. Xavier.
- D. Aaron.
Answer: C
NEW QUESTION # 37
Kelly wants to get feedback on the final draft of a strategic report that has taken her six months to develop.
What can she do to get prevent confusion as see seeks feedback before publishing the report?
Choose the best answer.
- A. Show the report to her immediate supervisor.
- B. Distribute the report to the appropriate stakeholders via email.
- C. Use a watermark to identify the report as a draft.
- D. Publish the report on an internally facing website.
Answer: C
Explanation:
While Kelly needs feedback from the appropriate stakeholders, doing so without a watermark could lead them to believe the report they receive is the final product.
NEW QUESTION # 38
Given the following report:
Which of the following components need to be added to ensure the report is point-in-time and static? (Choose two.)
- A. The date on which the report was run
- B. A summary of the KPIs
- C. Filter buttons for the status
- D. The date when the report was last accessed
- E. A control group for the phrases
- F. The time period the report covers
Answer: F
Explanation:
Explanation
The date on which the report was run. This is because the time period the report covers and the date on which the report was run are two components that need to be added to ensure the report is point-in-time and static, which means that the report shows the data as it was at a specific moment or interval in time, and does not change or update with new data. By adding the time period the report covers and the date on which the report was run, the analyst can indicate when and for how long the data was collected and analyzed, as well as avoid any confusion or ambiguity about the currency or validity of the data. The other components do not need to be added to ensure the report is point-in-time and static. Here is why:
A control group for the phrases is a type of group that serves as a baseline or a reference for comparison with another group that is exposed to some treatment or intervention, such as a target phrase in this case. A control group for the phrases does not need to be added to ensure the report is point-in-time and static, because it does not affect the time frame or the stability of the data. However, a control group for the phrases could be useful for evaluating the effectiveness or impact of the target phrases on customer satisfaction or retention.
A summary of the KPIs is a type of document that provides an overview or a highlight of the key performance indicators (KPIs), which are measurable values that indicate how well an organization or a process is achieving its goals or objectives. A summary of the KPIs does not need to be added to ensure the report is point-in-time and static, because it does not affect the time frame or the stability of the data. However, a summary of the KPIs could be useful for communicating or presenting the main findings or insights from the report.
Filter buttons for the status are a type of feature or function that allows users to select or deselect certain values or categories in a column or a table, such as ticket statuses in this case. Filter buttons for the status do not need to be added to ensure the report is point-in-time and static, because they do not affect the time frame or the stability of the data. However, filter buttons for the status could be useful for exploring or analyzing different aspects or segments of the data.
NEW QUESTION # 39
Which one of the following would not normally be considered a summary statistic?
- A. Standard deviation.
- B. Variance.
- C. Mean.
- D. z-score.
Answer: D
Explanation:
Explanation
Simply put, a z-score (also called a standard score) gives you an idea of how far from the mean a data point is.
But more technically it's a measure of how many standard deviations below or above the population mean a raw score is. A z-score can be placed on a normal distribution curve.
NEW QUESTION # 40
Jenny wants to study the academic performance of undergraduate sophomores and wants to determine the average grade point average at different points during an academic year.
What best describes the data set she needs?
- A. Variable.
- B. Sample.
- C. Observation.
- D. Population.
Answer: B
Explanation:
Correct answer A. Sample.
Jenny does not have data for the entire population of all undergraduate sophomores. While a specific grade point average is an observation of variable, jenny needs sample data.
NEW QUESTION # 41
Exhibit.
Which of the following logical statements results in Table B?
- A.
- B.
- C.
- D.
Answer: B
Explanation:
Explanation
The logical statement that results in Table B is Option D. Option D is a logical statement that uses the AND operator to combine two conditions: Name = "Tom" and Region = "BC". The AND operator returns true only if both conditions are true, otherwise it returns false. Therefore, Option D will select only the rows from Table A that satisfy both conditions, which are rows 4, 5, 6, and 7. These rows form Table B, as shown below:
Name | Gender flag | Level | College | Code | Region Tom | Male | Elementary | A | BC | BC Kim | Female | Elementary | A | BC | BC Pat | Female | Elementary | A | BC | BC Ben | Male | Elementary | A | BC | BC The other options are not correct, as they use different logical operators or conditions that do not result in Table B. Option A uses the OR operator, which returns true if either condition is true, or both. Option A will select all the rows from Table A except row 3, which does not match either condition. Option B uses the NOT operator, which returns the opposite of the condition. Option B will select all the rows from Table A except rows 4, 5, 6, and 7, which match the condition. Option C uses a different condition, Region = "ON", which does not match any row in Table A. Option C will select no rows from Table A. Reference: [SQL Logical Operators - W3Schools]
NEW QUESTION # 42
You would like to know whether the mean height of a group of children is statistically significantly different from that of another group.
What statistical test would be most appropriate?
- A. Chi-square test
- B. Sigma test
- C. p-test
- D. t-test
Answer: D
NEW QUESTION # 43
You would like to combine the text in two different strings to form a single string.
What action are you performing?
- A. Case conversion.
- B. Parsing.
- C. Concatenation.
- D. Trimming.
Answer: C
Explanation:
Simply defined, concatenation is the act of linking things together. In Microsoft Excel, the concatenation function is one of many text functions, which allows users to combine data distributed over multiple columns.
The concatenation of two or more numbers is the number formed by concatenating their numerals.
For example, the concatenation of 1, 234, and 5678 is 12345678.
NEW QUESTION # 44
An analyst has conducted a review of business questions. Which of the following should the analyst do next to conduct an analysis?
- A. Determine the data needs and begin the analysis.
- B. Determine the data needs and schedule interviews.
- C. Determine the data needs and review the observations.
- D. Determine the data needs and sources for analysis.
Answer: D
Explanation:
Explanation
After conducting a review of the business questions, the next step for the analyst is to determine the data needs and sources for analysis. This involves identifying the relevant data elements, variables, and metrics that are required to answer the business questions, as well as the data sources, formats, and quality that are available to access and use. This step will help the analyst to plan the data collection, preparation, and integration processes, as well as to assess the feasibility and limitations of the analysis1.
NEW QUESTION # 45
Which of the following value is the measure of dispersion "range" between the scores of ten students in a test.
The scores of ten students in a test are 17, 23, 30, 36, 45, 51, 58, 66, 72, 77.
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
Explanation
The correct answer is: 60
Range is the interval between the highest and the lowest score.
Range is a measure of variability or scatteredness of the varieties or observations among themselves and does not give an idea about the spread of the observations around some central value.
Symbolically R = Hs - Ls.
Where R = Range; Hs is the 'Highest score' and Ls is the Lowest Score.
The scores of ten students in a test are: 17, 23, 30, 36, 45, 51, 58, 66, 72, 77.
The highest score is 77 and the lowest score is 17.
So the range is the difference between these two scores Range = 77 - 17 = 60
NEW QUESTION # 46
Given the diagram below:
Which of the following data schemas shown?
- A. Data lake
- B. Online transactional processing
- C. Relational database
- D. Key-value pairs
Answer: C
NEW QUESTION # 47
Which of the following will MOST likely be streamed live?
- A. Flat files
- B. Delimited rows
- C. Key-value pairs
- D. Machine data
Answer: D
Explanation:
Explanation
Machine data is the most likely type of data to be streamed live, as it refers to data generated by machines or devices, such as sensors, web servers, network devices, etc. Machine data is often produced continuously and in large volumes, requiring real-time processing and analysis. Other types of data, such as key-value pairs, delimited rows, and flat files, are more likely to be stored in databases or files and processed in batches.
NEW QUESTION # 48
Zip code,____________, and___________ uniquely identify 87% of people in the United States.
- A. gender, first name
- B. phone number, email address
- C. first name, last name
- D. date of birth, gender
Answer: D
NEW QUESTION # 49
Jhon is working on an ELT process that sources data from six different source systems.
Looking at the source data, he finds that data about the sample people exists in two of six systems.
What does he have to make sure he checks for in his ELT process?
Choose the best answer.
- A. Invalid Data.
- B. Duplicate Data.
- C. Redundant Data.
- D. Missing Data.
Answer: A
Explanation:
Explanation
Duplicate Data.
While invalid, redundant, or missing data are all valid concerns, data about people exists in two of the six systems. As such, Jhon needs to account for duplicate data issues.
NEW QUESTION # 50
Given the diagram below:
Which of the following types of sampling is depicted in the image?
- A. Systematic
- B. Random
- C. Cluster
- D. Stratified
Answer: A
NEW QUESTION # 51
When would you show time on a standard line chart?
- A. X-axis
- B. Color
- C. Legend
- D. Y-axis
Answer: A
NEW QUESTION # 52
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