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試験問題集リアルCompTIA Data+問題集255解答を試そう！
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質問 # 33
A data analyst was asked to create a chart that shows the relationship between study hours and exam scores for each student using the data sets in the table below:
Which of the following charts would BEST represent the relationship between the variables?
- A. A bar chart
- B. A scatter plot
- C. A heat map
- D. A histogram
正解：A
質問 # 34
Afinancial institution is reporting on sales performance to a company at the account level. Due to the sensitive nature of the government the does il with, some account information is not shown. Which of the following fields should be masked?
- A. Product name
- B. Sales volume
- C. Start date
- D. Customer name
正解：D
質問 # 35
A data analyst has been asked to create an ad-hoc sales report for the Chief Executive Officer (CEO).
Which of the following should be included in the report?
- A. YTD total sales.
- B. The sales representatives' home addresses.
- C. Line-item SKU numbers.
- D. The customers' first and last names.
正解：A
解説：
The report for the CEO should include YTD total sales, as this will provide a high-level overview of the sales performance of the company and show how it is meeting its annual goals. The other options are not appropriate for the CEO, as they are either too detailed or irrelevant for the report. The sales representatives' home addresses, line-item SKU numbers, and customers' first and last names are not related to the sales performance and might compromise the privacy and security of the data. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy
質問 # 36
You are working with a professional statistician to perform an analysis and would like to use a statistics package.
Which one of the following would be the most appropriate?
- A. QLIK.
- B. Minitab.
- C. Power BI.
- D. Rapid Miner.
正解：B
解説：
Explanation
Minitab is statistical analysis software. It can be used for learning about statistics as well as statistical research.
Statistical analysis computer applications have the advantage of being accurate, reliable, and generally faster than computing statistics and drawing graphs by hand.
質問 # 37
Consider this dataset showing the retirement age of 11 people, in whole years:
54, 54, 54, 55, 56, 57, 57, 58, 58, 60, 60
This tables show a simple frequency distribution of the retirement age data.
- A. 0
- B. 1
- C. 2
- D. 3
正解：B
解説：
Explanation
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
There are three main measures of central tendency: the mode, the median and the mean. Each of these measures describes a different indication of the typical or central value in the distribution.
What is the mode?
The mode is the most commonly occurring value in a distribution.
The most commonly occurring value is 54, therefore the mode of this distribution is 54 years.
質問 # 38
Refer to the exhibit.
A data analyst needs to calculate the mean for Q1 sales using the data set below:
Which of the following is the mean?
- A. $3,082.72
- B. $2,667.60
- C. $2,466.18
- D. $12,330.88
正解：A
解説：
The mean is the average of all the values in a data set. To calculate the mean, we add up all the values and divide by the number of values. In this case, the mean for Q1 sales is ($2,000 + $3,000 + $4,000 + $2,500 + $3,500) / 5 = $3,082.72 Reference: CompTIA Data+ Certification Exam Objectives, page 9
質問 # 39
Which of the following is the correct data type for text?
- A. Float
- B. Boolean
- C. Integer
- D. String
正解：D
解説：
Explanation
A string is a data type that represents a sequence of characters, such as text, symbols, numbers, or punctuation marks. Strings are enclosed in quotation marks, such as "Hello", "123", or "!@#". Strings can be manipulated, concatenated, sliced, indexed, formatted, and searched using various methods and functions. A string is different from other data types, such as boolean, integer, or float, which represent logical values (true or false), whole numbers, or decimal numbers respectively. Therefore, the correct answer is B. References: What is a String? | Definition and Examples, Python String Methods
質問 # 40
Which of the following best describes how discrete data differs from continuous data?
- A. Discrete data can only be a finite number of values.
- B. Discrete data can have decimal points.
- C. Discrete data cannot create a sloped line.
- D. Discrete data applies only to numbers.
正解：A
解説：
Explanation
Discrete data are data that can only assume specific values that are countable and distinct. For example, the number of books, the number of heads in a coin toss, or the number of patients in a hospital are discrete data. Discrete data cannot have fractional or decimal values, and there are clear spaces between the possible values12.
Continuous data are data that can assume any value within a range and can be meaningfully divided into smaller parts. For example, the weight, height, length, time, or temperature are continuous data. Continuous data can have fractional or decimal values, and there are infinite numbers of possible values between any two points12.
質問 # 41
An analyst has generated a report that includes the number of months in the first two quarters of 2019 when sales exceeded $50,000:
Which of the following functions did the analyst use to generate the data in the Sales_indicator column?
- A. Date
- B. Logical
- C. Sort
- D. Aggregate
正解：D
質問 # 42
Which of the following describes the method of sampling in which elements of data are selected randomly from each of the small subgroups within a population?
- A. Cluster
- B. Systematic
- C. Simple random
- D. Stratified
正解：D
解説：
Explanation
This is because stratified is a type of sampling in which elements of data are selected randomly from each of the small subgroups within a population, such as age groups, gender groups, or income groups. Stratified sampling can be used to ensure that the sample is representative and proportional of the population, as well as reduce the sampling error or bias. For example, stratified sampling can be used to select a sample of voters from different political parties based on their proportion in the population. The other types of sampling are not the types of sampling in which elements of data are selected randomly from each of the small subgroups within a population. Here is why:
Simple random is a type of sampling in which elements of data are selected randomly from the entire population, without dividing it into any subgroups. Simple random sampling can be used to ensure that every element in the population has an equal chance of being selected, as well as avoid any systematic error or bias. For example, simple random sampling can be used to select a sample of students from a school by using a lottery or a computer-generated number.
Cluster is a type of sampling in which elements of data are selected randomly from a few large subgroups within a population, such as regions, districts, or schools. Cluster sampling can be used to reduce the cost and complexity of sampling, as well as increase the feasibility and convenience of sampling. For example, cluster sampling can be used to select a sample of households from a few neighborhoods by using a map or a list.
Systematic is a type of sampling in which elements of data are selected at regular intervals from an ordered list or sequence within a population, such as every nth element or every kth element. Systematic sampling can be used to simplify and speed up the sampling process, as well as ensure that the sample covers the entire range or scope of the population. For example, systematic sampling can be used to select a sample of books from a library by using an alphabetical order or a numerical order.
質問 # 43
When analyzing the values of two variables, you decide to convert both variables so they are on a scale of 0 to
1.
What term describes this action?
- A. Transposition.
- B. Normalization.
- C. Filtering.
- D. Aggregation.
正解：B
解説：
Explanation
Normalization is the process of reorganizing data in a database so that it meets two basic requirements: There is no redundancy of data, all data is stored in only one place. Data dependencies are logical, all related data items are stored together.
Put simply, data normalization ensures that your data looks, reads, and can be utilized the same way across all of the records in your customer database. This is done by standardizing the formats of specific fields and records within your customer database.
質問 # 44
A data analyst needs to create a data visualization that aids in un the cumulative impact of sequentially introduced values that are positive or negative. Which of the following data visualization methods should the analyst use?
- A. A waterfall chart
- B. A bubble chart
- C. A scatter plot
- D. A line chart
正解：A
解説：
Explanation
A waterfall chart is a type of data visualization that shows the cumulative impact of sequentially introduced values that are positive or negative. A waterfall chart typically has an initial value and a final value, with intermediate values shown as floating columns that either add to or subtract from the initial value. A waterfall chart can help visualize how different factors contribute to a net change in a value over time.
Therefore, the correct answer is B. References: [Waterfall Chart | Definition & Examples - Investopedia], [Waterfall Charts in Excel | How to Create Waterfall Chart in Excel?]
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質問 # 45
An analyst has received the requirements for an internal user dashboard. The analyst confirms the data sources and then creates a wireframe. Which of the following is the NEXT step the analyst should take in the dashboard creation process?
- A. Optimize the dashboard.
- B. Get stakeholder approval.
- C. Create subscriptions.
- D. Deploy to production.
正解：B
質問 # 46
An analyst is working on a project for a director. During this process. the analyst pulled the dat a. created summarized tables and graphs with descriptions, created a report summary, and inserted all items into a report. After writing the report, which of the following would be the most appropriate next step?
- A. Complete a review of the data and a check for consistency
- B. Complete a trend analysis to be included in the report.
- C. Complete an audit on the data pulled for the report.
- D. Complete a check for quality in the report.
正解：D
解説：
After writing the report, the most appropriate next step for the analyst is to complete a check for quality in the report. This involves reviewing the report for accuracy, clarity, completeness, consistency, and relevance. The analyst should ensure that the report addresses the director's business questions and objectives, that the data and analysis are correct and reliable, that the tables and graphs are well-designed and easy to understand, that the descriptions and summary are concise and informative, and that there are no errors or inconsistencies in the report. A quality check will help the analyst to improve the presentation and communication of the report, as well as to avoid any misunderstandings or misinterpretations by the director1.
質問 # 47
A user imports a data file into the accounts payable system each day. On a regular basis. the field input is not what the system is expecting. so it results in an error for the row and a broken import process. To resolve the issue, the user opens the file, finds the error in the row, and manually corrects it before attempting the import again. The import sometimes breaks on subsequent attempts. though. Which of the following changes should be made to this process to reduce the number of errors?
- A. Have the user manually review the file for data completeness before loading it
- B. Create a data field to data type validator to run the file through prior to import.
- C. Spot-check the file prior to import to catch and correct field errors.
- D. Delete all incorrect inputs and upload the corrected file.
正解：B
解説：
A data field to data type validator is a tool or a process that checks if the data in each field of a file matches the expected data type, such as text, number, date, etc. A data field to data type validator can help to identify and correct any errors or inconsistencies in the data before importing it into the accounts payable system. This would reduce the number of errors and broken imports, as well as save time and effort for the user.
質問 # 48
A data analyst is creating a dashboard and trying to identify the type of information that should be included. Which of the following should the analyst consider first?
- A. Consumer types
- B. Data sources and attributes
- C. Access permissions
- D. Data refresh rate
正解：B
解説：
The answer is D. Data sources and attributes.
Short explanation: The data analyst should consider the data sources and attributes first when creating a dashboard, because they determine what kind of information can be included and how it can be displayed. The data sources and attributes define the origin, quality, format, and structure of the data that will be used for the dashboard. They also affect the data refresh rate, the consumer types, and the access permissions of the dashboard12 A) Data refresh rate is not the first thing to consider, because it depends on the data sources and attributes. The data refresh rate is how often the data in the dashboard is updated or refreshed to reflect the latest changes. The data refresh rate can vary depending on the type, frequency, and availability of the data sources1 B) Consumer types are not the first thing to consider, because they depend on the data sources and attributes. The consumer types are the intended audiences or users of the dashboard, who may have different needs, preferences, and expectations for the dashboard. The consumer types can influence the design, layout, and functionality of the dashboard. However, the consumer types cannot be determined without knowing what kind of data is available and relevant for them1 C) Access permissions are not the first thing to consider, because they depend on the data sources and attributes. The access permissions are the rules or policies that govern who can view, edit, or share the dashboard. The access permissions can protect the confidentiality, integrity, and availability of the data in the dashboard. However, the access permissions cannot be set without knowing what kind of data is involved and who needs to access it1
質問 # 49
A data analyst has a set of data that shows the number of gallons of oil produced each day. The company would like to know the standard deviation for the data set. The variance for the data is 36 gallons. Which of the following is the standard deviation for gallons produced?
- A. 0
- B. 1
- C. 1.16
- D. 2
正解：D
質問 # 50
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