DA0-001 PDF問題集で2024年04月06日試験問題 有効なDA0-001問題集
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CompTIA DA0-001、またはCompTIA Data+ 認定試験としても知られるこの試験は、様々な形でデータを扱うプロフェッショナル向けに設計された認定試験です。この試験は、IT認定資格の主要なプロバイダーであるCompTIAによって提供され、データの管理、分析、解釈に必要な知識とスキルをテストするよう設計されています。
質問 # 38
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：
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 # 39
Randy scored 76 on a math test, Katie scored 86 on a science test, Ralph scored 80 on a history test, and Jean scored 80 on an English test. The table below contains the mean and standard deviation of the scores for each of the courses:
Using this information, which of the following students had the BEST score?
- A. Randy
- B. Katie
- C. Jean
- D. Ralph
正解：B
解説：
Explanation
To compare the students' scores, we need to standardize them by using the z-score formula, which is:
z = (x - ) /
where x is the raw score, is the mean, and is the standard deviation. The z-score tells us how many standard deviations a score is above or below the mean. A higher z-score means a better score relative to the average.
Using the table, we can calculate the z-scores for each student as follows:
Randy: z = (76 - 70) / 2 = 3 Katie: z = (86 - 80) / 3 = 2 Ralph: z = (80 - 75) / 2 = 2.5 Jean: z = (80 - 90) / 1 =
-10
The student with the highest z-score is Randy, with a z-score of 3. This means that Randy scored 3 standard deviations above the mean in math, which is the best performance among the four students. Therefore, the correct answer is A.
References: Comparing with z-scores (video) | Z-scores | Khan Academy, 17 Important Data Visualization Techniques | HBS Online
質問 # 40
A data analyst has a set with more than 40.000 rows in the sample schema below:
The analyst would like to create one column that contains the customers' birth dates. Which of the following data quality dimensions would BEST explain the reason for compilation?
- A. Data integrity
- B. Data accuracy
- C. Data duplication
- D. Data completeness
正解：A
解説：
Explanation
Data integrity is the dimension that measures the consistency and validity of data across different data sources.
In this case, the data analyst wants to create one column that contains the customers' birth dates, but the data is stored in different formats and locations in the sample schema. For example, some customers have their birth dates in the customer table, while others have their birth years in the sales table. To compile the data into one column, the data analyst needs to ensure that the data is consistent and valid across the tables. Therefore, data integrity is the best explanation for the reason for compilation. References: Data Quality Dimensions - DATAVERSITY, The 6 Data Quality Dimensions with Examples | Collibra
質問 # 41
A data analyst has been asked to organize the table below in the following ways:
By sales from high to low -
By state in alphabetic order -
Which of the following functions will allow the data analyst to organize the table in this manner?
- A. Sorting
- B. Grouping
- C. Conditional formatting
- D. Filtering
正解：A
質問 # 42
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. < span >Upload Your Short Videos< /span >< button >upload now< /button >
- B. < hl >Upload Your Short Videos< /h1 >< hl >upload now< /h1 >
- C. < p >Upload Your Short Videos< /p >< p >upload now< /p >
- D. < hl >Upload Your Short Videos< /h1 >< button >upload now< /button >
正解：D
解説：
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
質問 # 43
What data type is most appropriate for storing postal codes, such as, U.S. ZIP codes?
- A. Integer.
- B. Float.
- C. String.
- D. Location.
正解：C
質問 # 44
An analyst must obtain the average daily sales for the following week:
Which of the following must the analyst perform to obtain this value?
- A. Data append
- B. Data normalization
- C. Data aggregation
- D. Data blending
正解：C
解説：
Explanation
Data aggregation is the process of compiling data from multiple sources and summarizing it into a single dataset. Data aggregation can be used to calculate statistics, such as averages, sums, counts, or percentages. In this case, the analyst must obtain the average daily sales for the following week, which is a statistic that can be calculated by aggregating the sales data from each day and dividing by the number of days. Data aggregation can be done using various tools and methods, such as spreadsheets, databases, or programming languages.
質問 # 45
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 histogram
- B. A heat map
- C. A scatter plot
- D. A bar chart
正解：D
質問 # 46
What subset of Structured Query Language (SQL) is used to add, remove, modify, or retrieve the information stored within a relational database?
- A. DDL.
- B. DML.
- C. DQL.
- D. DSL.
正解：B
解説：
Correct answer D. DML.
The Data Manipulation Language (DML) is used to work with the data stored in a database. DML includes the SELECT, INSERT, UPDATE, and DELETE commands.
The Data Definition Language (DDL) contains the commands used to create and structure a relational database. It includes the CREATE, ALTER, and DROP commands.
DDL and DML are the only two sublanguages of SQL.
質問 # 47
An analyst is required to run a text analysis of data that is found in articles from a digital news outlet. Which of the following would be the BEST technique for the analyst to apply to acquire the data?
- A. Data wrangling
- B. Web scraping
- C. ETL
- D. Sampling
正解：B
質問 # 48
Which action is mandated by the Gramm-Leach-Bliley Act (GLBA) Safeguards Rule?
- A. The development of written information security policy.
- B. The disclosure of information sharing practices.
- C. The distinguishing between consumers and customers.
- D. The provision of a privacy notice to consumers.
正解：A
質問 # 49
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 # 50
Which of the following best describes a business analytics tool with interactive visualization and business capabilities and an interface that is simple enough for end users to create their own reports and dashboards?
Python
- A. Microsoft Power Bl
- B. R
- C. SAS
正解：C
解説：
Explanation
The best answer is C. Microsoft Power BI.
Microsoft Power BI is a business analytics and business intelligence service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. Power BI can connect to multiple data sources, clean and transform data, create custom calculations, and visualize data through charts, graphs, and tables. Power BI can be accessed through a web browser, mobile device, or desktop application and integrated with other Microsoft tools like Excel and SharePoint12 Python is not correct, because Python is a general-purpose programming language that can be used for various applications, including data analysis and visualization. However, Python is not a dedicated business analytics tool, and it requires coding or programming skills to create reports and dashboards.
R is not correct, because R is a programming language and software environment for statistical computing and graphics. R can be used for data analysis and visualization, but it is not a specialized business analytics tool, and it requires coding or programming skills to create reports and dashboards.
SAS is not correct, because SAS is a software suite for advanced analytics, business intelligence, data management, and predictive analytics. SAS can provide interactive visualizations and business capabilities, but it does not have an interface that is simple enough for end users to create their own reports and dashboards.
SAS also requires coding or programming skills to use its features.
質問 # 51
A research analyst collects ten data points from 1.000 specimens. The analyst will not need any additional data to complete the analysis and will not need to retrieve information by specifier. Which of the following is the best data structure for the analyst to use?
- A. NoSQL
- B. Flat file
- C. Relational database
- D. JSON
正解：B
解説：
Explanation
A flat file is a type of data structure that stores data in a plain text format, such as CSV, TSV, or TXT. A flat file consists of one or more records, each containing one or more fields, separated by a delimiter, such as a comma, tab, or space. A flat file does not have any hierarchical or relational structure, and does not support any complex queries or operations1.
A flat file may be the best data structure for the analyst to use in this scenario, because:
The analyst collects ten data points from 1,000 specimens, which means the data is relatively small and simple, and can be easily stored and processed in a flat file.
The analyst will not need any additional data to complete the analysis, which means the data is static and does not require any updates or modifications.
The analyst will not need to retrieve information by specifier, which means the data does not require any indexing or searching by key or value.
質問 # 52
Which of the following best describes the law of large numbers?
- A. As a sample size grows, its mean gets closer to the average of the whole population
- B. As a sample size decreases, its standard deviation gets closer to the average of the whole population.
- C. When a sample size doubles. the sample is indicative of the whole population.
- D. As a sample size decreases, its mean gets closer to the average of the whole population.
正解：A
解説：
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.
質問 # 53
An analysts building a monthly report for production and wants to ensure the audience is aware of its once-a-month cadence. Which of the following is the MOST important to convey that information?
- A. A report summary
- B. The date of the dashboard build
- C. The data refresh date
- D. Frequently asked questions
正解：B
質問 # 54
Which of the following best describes an exploratory analysis?
- A. Involves analysis of exploring data sets for performance tracking
- B. Involves the use of arithmetic algebra to determine the distribution
- C. Involves the testing of specific hypotheses
- D. Involves the use of descriptive statistics to understand observations
正解：D
解説：
Explanation
answer: A. Involves the use of descriptive statistics to understand observations.
Exploratory data analysis (EDA) is a method of analyzing and investigating data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. EDA involves the use of descriptive statistics, such as mean, median, mode, standard deviation, frequency, or percentage, to understand the distribution, central tendency, variability, and relationship of the data. EDA helps to see what the data can reveal beyond the formal modeling or hypothesis testing, and provides a better understanding of data set variables and the interactions between them1.
質問 # 55
Which dimension of data quality ensures that data stored in multiple locations is the same?
- A. Accuracy.
- B. Consistency.
- C. Validity.
- D. Completeness.
正解：B
解説：
Data consistency means that each user sees a consistent view of the data, including visible changes made by the user's own transactions and transactions of other users.
質問 # 56
Maria is developing a script that will perform some common analytics tasks.
In order to improve the efficiency of her workflow, she is using a package called the Tidyverse.
What programming language is she using?
- A. Ruby
- B. C++
- C. Python
- D. R
正解：D
解説：
The tidyverse is a collection of packages for the R programming language designed to facilitate the analytics workflow.
The tidyverse is not available for Python, Ruby, or C++, all of which are general-purpose programming languages.
質問 # 57
A cereal manufacturer wants to determine whether the sugar content of its cereal has increased over the years. Which of the following is the appropriate descriptive statistic to use?
- A. Percent change
- B. Mean
- C. Variance
- D. Frequency
正解：A
質問 # 58
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. Recording
- C. Filtering.
- D. Aggregation.
正解：A
解説：
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.
質問 # 59
Which of the following statements would be used to append two tables that have the same number of columns?
- A. MERGE
- B. GROUP BY
- C. UNION ALL
- D. JOIN
正解：C
解説：
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.
質問 # 60
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. Power BI.
- B. Minitab.
- C. Rapid Miner.
- D. QLIK.
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 # 61
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. The customers' first and last names.
- B. Line-item SKU numbers.
- C. The sales representatives' home addresses.
- D. YTD total sales.
正解：D
解説：
Explanation
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 # 62
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Comptia DA0-001試験では、データベースの概念、データモデリング、データ倉庫、データの視覚化、データセキュリティなど、幅広いトピックをカバーしています。この試験は、これらの分野の候補者の実践的な知識と、この知識を実際のシナリオに適用する能力をテストするように設計されています。この試験は90の複数選択の質問で構成されており、候補者はそれを完了するのに90分かかります。
CompTIA DA0-001 試験は、データとデータベース技術に携わる人々にとって貴重な認定試験です。この試験は、データ管理、データ分析、データベース技術に関連する主要なコンセプトの理解をテストするように設計されており、IT業界の雇用主に高く評価されています。適切なリソースと準備があれば、候補者は試験に合格し、CompTIA Data+ 認定を取得することができます。
合格率 取得する秘訣はDA0-001認定試験エンジンPDF：https://www.goshiken.com/CompTIA/DA0-001-mondaishu.html
今すぐ試そう！高評価CompTIA DA0-001試験問題集：https://drive.google.com/open?id=1T-YWy-WT0a6oC7XTzqNBJwsquDvCdt_Z