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NEW QUESTION # 60
A publishing group has requested a dashboard to track submissions before publication. A key requirement is that all changes are tracked, as multiple users will be checking out documents and editing them before submissions are considered final. Which of the following is the BEST way to meet this stakeholder requirement?
- A. Use permissions to ensure users only see certain versions of the submissions.
- B. Present a data refresh date at the top of the dashboard.
- C. Display the version number next to each submission on the dashboard.
- D. Confirm the dashboard is adhering to the corporate style guide.
Answer: C
Explanation:
Explanation
A static report is a type of report that shows a snapshot of data at a specific point in time. A static report does not change or update automatically, unless the data source is refreshed or the report is regenerated. A static report is suitable for situations where the data does not change frequently or where historical data is needed for comparison or analysis. In this case, the data analyst is asked to create a sales report for the second-quarter
2020 board meeting, which will include a review of the business's performance through the second quarter.
The board meeting will be held on July 15, 2020, after the numbers are finalized. This means that the data analyst does not need to show real-time or dynamic data, but rather a fixed and accurate view of the sales data for the second quarter. Therefore, a static report would be the best way to meet this stakeholder requirement.
Therefore, the correct answer is A. References: What are Static Reports? | Sisense, Static vs Dynamic Reports
- What's The Difference? | datapine
NEW QUESTION # 61
Which of the following would a data analyst look for first if 100% participation is needed on survey results?
- A. Duplicate data
- B. Missing data
- C. Redundant data
- D. Invalid data
Answer: B
Explanation:
Missing data is a type of data quality issue that occurs when some values in a data set are not recorded or available. Missing data can affect the validity and reliability of survey results, especially if the missing values are not random or ignorable. Missing data can also reduce the sample size and the statistical power of the analysis12 If 100% participation is needed on survey results, a data analyst would look for missing data first, because missing data would indicate that some participants did not complete or submit the survey, or that some responses were not recorded or transmitted correctly. A data analyst would need to identify the causes and patterns of missing data, and apply appropriate methods to handle or prevent missing data, such as imputation, deletion, weighting, or follow-up12
NEW QUESTION # 62
An analyst is designing a dashboard to determine which site has the highest percentage of new customers. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:
Which of the following types of charts should be considered to BEST display the data?
- A. Include a pie chat using the site and percentage of new customers data.
- B. Include a bar chart using the site and the percentage of new customers data.
- C. Include a scatter chart using the site and the percent of new customers data.
- D. Include a line chart using the site and the percentage of new customers data.
Answer: B
Explanation:
Explanation
This is because a bar chart is a type of chart that shows the value or the amount of a single variable for different categories or groups, such as the percentage of new customers for different sites in this case. A bar chart can be used to display and analyze the comparison, ranking, or proportion among the categories or groups, as well as identify any differences, similarities, or outliers in the data. For example, a bar chart can show which site has the highest or lowest percentage of new customers, as well as show how much each site contributes to the total percentage of new customers. The other types of charts are not the best charts to display the data. Here is why:
A line chart is a type of chart that shows the change or the trend of a single variable over time, such as the percentage of new customers over months or years in this case. A line chart can be used to display and analyze the movement, cycle, or pattern of the variable, as well as identify any peaks, valleys, or fluctuations in the data. For example, a line chart can show how the percentage of new customers increases or decreases over time, as well as show if there are any seasonal or periodic variations in the data.
A pie chart is a type of chart that shows the proportion or the percentage of a single variable for different categories or groups, such as the percentage of new customers for different sites in this case. A pie chart can be used to display and analyze the composition, distribution, or share of the variable, as well as identify any segments, slices, or fractions in the data. For example, a pie chart can show how much each site represents of the total percentage of new customers, as well as show if there are any dominant or minor sites in the data.
A scatter chart is a type of chart that shows the relationship between two variables for each observation or unit in a data set, such as the percentage of new customers and another variable for each site in this case. A scatter chart can be used to display and analyze the correlation, trend, or pattern among the variables, as well as identify any outliers or clusters in the data. For example, a scatter chart can show if there is a positive, negative, or no correlation between the percentage of new customers and another variable, such as sales revenue or customer satisfaction.
NEW QUESTION # 63
Which of following is a non-relational database?
- A. PostgreSQL
- B. Neo4j
- C. SQLite
- D. MySQL
Answer: B
Explanation:
Explanation
Neo4j is a type of non-relational database that uses a graph model to store data. A graph database is a database that represents data as nodes and edges, where nodes are entities and edges are relationships between them. A graph database can store complex and diverse data that is not easily structured in tables. A graph database can also perform fast and efficient queries on the data by traversing the connections between the nodes
NEW QUESTION # 64
Which of the following will MOST likely be streamed live?
- A. Delimited rows
- B. Flat files
- C. Key-value pairs
- D. Machine data
Answer: D
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 # 65
A user receives a large custom report to track company sales across various date ranges. The user then completes a series of manual calculations for each date range. Which of the following should an analyst suggest so the user has a dynamic, seamless experience?
- A. Add macros to the report to speed up the filtering and calculations process.
- B. Create multiple reports, one for each needed date range.
- C. Create a dashboard with a date range picker and calculations built in.
- D. Build calculations into the report so they are done automatically.
Answer: C
NEW QUESTION # 66
Refer to the exhibit.
Which of the following logical statements results in Table B?
- A.
- B.
- C.
- D.
Answer: A
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 # 67
Which one of the following values will appear first if they are sorted in descending order?
- A. Aaron.
- B. Molly.
- C. Xavier.
- D. Adam.
Answer: C
Explanation:
The value that will appear first if they are sorted in descending order is Xavier. Descending order means arranging values from the largest to the smallest, or from the last to the first in alphabetical order. In this case, Xavier is the last name in alphabetical order, so it will appear first when sorted in descending order. The other names will appear in the following order: Molly, Adam, Aaron. Reference: Sorting Data - W3Schools
NEW QUESTION # 68
A junior web developer is developing a new application where users can upload short videos. The first task is to create a homepage that shows the headline "Upload Your Short Videos" and a clickable button that says "upload now".
Which of the following HTML commands would help the developer to complete the task successfully?
- A. < hl >Upload Your Short Videos< /h1 >< button >upload now< /button >
- B. < hl >Upload Your Short Videos< /h1 >< hl >upload now< /h1 >
- C. < span >Upload Your Short Videos< /span >< button >upload now< /button >
- D. < p >Upload Your Short Videos< /p >< p >upload now< /p >
Answer: A
Explanation:
The HTML commands that would help the developer to complete the task successfully are <h1>Upload Your Short Videos</h1> and <button>upload now</button>. The <h1> tag defines a heading level 1, which is the largest and most important heading on a webpage. The <button> tag defines a clickable button that can perform some action when clicked. The other options are not suitable for the task, as they either use the wrong tags or do not create a clickable button. The <span> tag defines a section of text with no specific meaning or formatting. The <p> tag defines a paragraph of text. The <hl> tag does not exist in HTML. Reference: HTML Tags - W3Schools
NEW QUESTION # 69
Which of the following statements would be used to append two tables that have the same number of columns?
- A. JOIN
- B. MERGE
- C. GROUP BY
- D. UNION ALL
Answer: D
Explanation:
The correct answer is
A) UNION ALL.
UNION ALL is a SQL statement that appends two tables that have the same number of columns and compatible data types. UNION ALL preserves all the rows from both tables, including any duplicates12 B) MERGE is not correct, because MERGE is a SQL statement that combines the data of two tables based on a common column. MERGE can perform insert, update, or delete operations on the target table depending on the matching or non-matching rows from the source table34 C) GROUP BY is not correct, because GROUP BY is a SQL clause that groups the rows of a table based on one or more columns. GROUP BY is often used with aggregate functions, such as SUM, AVG, COUNT, etc., to calculate summary statistics for each group56 D) JOIN is not correct, because JOIN is a SQL clause that combines the data of two tables based on a common column or condition. JOIN can produce different results depending on the type of join, such as INNER JOIN, LEFT JOIN, RIGHT JOIN, etc.
NEW QUESTION # 70
Samantha needs to share a list of her organization's top 50 customers with the VP of sales.
She would like to include the name of the customer, the business they represent, their contact information, and their total sales over the past year.
The VP does not have any specialized analytics skills or software but would like to make some personal notes on the dataset.
What would be the best tool for Samantha to use to share this information?
- A. Microsoft Excel.
- B. Power BI.
- C. Minitab.
- D. SAS.
Answer: A
Explanation:
Explanation
Microsoft Excel.
This scenario presents a very simple use case where the business leader needs a dataset in an easy-to-access form and will not be performing any detailed analysis.
A simple spreadsheet, such as Microsoft Excel, would be the best tool for this job.
There is no need to use a statistical analysis package, such as SAS or Minitab, as this would likely confuse the VP without adding any value. The same is true of an integrated analytics suite, such as Power BI.
NEW QUESTION # 71
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. Q3 2019 vs. Q3 2020
- B. Q4 2019 vs. Q3 2020
- C. 2019 vs. YTD 2020
- D. YTD 2019 vs. YTD 2020
Answer: A
NEW QUESTION # 72
Which of the following is an example of a discrete data type?
- A. 2.5mi (4km)
- B. 10.7lbs (4.9kg)
- C. 8in (20cm)
- D. 5 kids
Answer: D
Explanation:
A discrete data type is a data type that can only take on a finite number of values, such as integers or categories. An example of a discrete data type is the number of kids, as it can only be a whole number. The other options are examples of continuous data types, as they can take on any value within a range. The length in inches or centimeters, the distance in miles or kilometers, and the weight in pounds or kilograms are all continuous data types. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy
NEW QUESTION # 73
An analyst has been tracking company intranet usage and has been asked to create a chat to show the most-used/most-clicked portions of a homepage that contains more than 30 links. Which of the following visualizations would BEST illustrate this information?
- A. Infographic
- B. Heat map
- C. Pie chart
- D. Scatter plot
Answer: B
Explanation:
Explanation
This is because a heat map is a visualization that uses colors to represent different values or intensities of a variable. A heat map can be used to show the most-used/most-clicked portions of a homepage that contains more than 30 links by assigning different colors to each link based on how frequently they are clicked by the users. For example, a link that is clicked very often can be colored red, while a link that is clicked rarely can be colored blue. A heat map can help the analyst to identify which links are more popular or important than others on the homepage. The other visualizations are not as effective as a heat map for this purpose. Here is why:
A scatter plot is a visualization that uses dots or points to represent the relationship between two variables. A scatter plot cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a clear way of mapping each link to a point on the graph.
A pie chart is a visualization that uses slices or sectors to represent the proportion of each category in a whole.
A pie chart cannot show the most-used/most-clicked portions of a homepage that contains more than 30 links because it does not have enough space to display all the categories clearly and accurately.
An infographic is a visualization that uses images, icons, charts, and text to convey information or tell a story.
An infographic cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a consistent or standardized way of representing each link and its click frequency.
NEW QUESTION # 74
Which of the following should be accomplished NEXT after understanding a business requirement for a data analysis report?
- A. Determine the data necessary for the analysis
- B. Build a mock dashboard/presentation layout.
- C. Perform exploratory data analysis.
- D. Rephrase the business requirement.
Answer: A
Explanation:
The next step after understanding a business requirement for a data analysis report is to determine the data necessary for the analysis. This step involves identifying the data sources, variables, metrics, and dimensions that are relevant and sufficient to answer the business question or problem. This step also involves assessing the availability, quality, and accessibility of the data, and planning how to collect, clean, and prepare the data for analysis. The other options are not the next steps after understanding a business requirement, but rather subsequent steps in the data analysis process. Rephrasing the business requirement is a step that can help clarify and refine the business question or problem before determining the data necessary for the analysis. Building a mock dashboard/presentation layout is a step that can help design and visualize the report before performing the data analysis. Performing exploratory data analysis is a step that can help explore and summarize the data before drawing conclusions and recommendations from the data. Reference: Data Analysis Process - DataCamp
NEW QUESTION # 75
You recently downloaded a file containing website visitor logs from your organization's web server.
What term best describes these logs at this point in the process?
- A. Data.
- B. Schema.
- C. Intelligence.
- D. Information.
Answer: A
NEW QUESTION # 76
Which of the following best describes the law of large numbers?
- A. When a sample size doubles. the sample is indicative of the whole population.
- B. As a sample size grows, its mean gets closer to the average of the whole population
- C. As a sample size decreases, its standard deviation gets closer to the average of the whole population.
- D. As a sample size decreases, its mean gets closer to the average of the whole population.
Answer: B
Explanation:
The best answer is B. As a sample size grows, its mean gets closer to the average of the whole population.
The law of large numbers, in probability and statistics, states that as a sample size grows, its mean gets closer to the average of the whole population. This is due to the sample being more representative of the population as it increases in size. The law of large numbers guarantees stable long-term results for the averages of some random events1 A) As a sample size decreases, its standard deviation gets closer to the average of the whole population is not correct, because it confuses the concepts of standard deviation and mean. Standard deviation is a measure of how much the values in a data set vary from the mean, not how close the mean is to the population average. Also, as a sample size decreases, its standard deviation tends to increase, not decrease, because the sample becomes less representative of the population.
C) As a sample size decreases, its mean gets closer to the average of the whole population is not correct, because it contradicts the law of large numbers. As a sample size decreases, its mean tends to deviate from the average of the whole population, because the sample becomes less representative of the population.
D) When a sample size doubles, the sample is indicative of the whole population is not correct, because it does not specify how close the sample mean is to the population average. Doubling the sample size does not necessarily make the sample indicative of the whole population, unless the sample size is large enough to begin with. The law of large numbers does not state a specific number or proportion of samples that are indicative of the whole population, but rather describes how the sample mean approaches the population average as the sample size increases indefinitely.
NEW QUESTION # 77
The number of phone calls that the call center receives in a day is an example of:
- A. categorical data.
- B. ordinal data.
- C. continuous data.
- D. discrete data.
Answer: D
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. Reference: [Discrete vs Continuous Data: Definition and Examples - Statistics How To], [Discrete Data - Definition and Examples | Math Goodies]
NEW QUESTION # 78
What R package makes it easy to work with dates?
- A. Stringr.
- B. ggplot.
- C. Datemath.
- D. Lubridate.
Answer: D
Explanation:
Explanation
Lubridate is an R package that makes it easier to work with dates and times.
NEW QUESTION # 79
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