[2025年04月26日] 信頼され続けるDA0-001試験のコツがあるPDF試験材料
2025年最新のDA0-001テスト解説（更新されたのは312問があります)
Comptia DA0-001認定試験は、さまざまなデータ管理および分析関連のトピックで候補者の習熟度をテストするように設計されています。試験は、最大90の複数選択とパフォーマンスベースの質問で構成され、候補者は試験を完了するために90分を与えられます。この試験はコンピューターベースであり、世界中のピアソンvueテストセンターで撮影できます。この試験は、データ管理の概念に関する候補者の知識と、そ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。
Comptia DA0-001認定試験は、データ管理に関連するさまざまな概念の候補者の知識と理解を評価する包括的なテストです。これは、90分以内に完了する必要がある90の複数選択の質問で構成されています。この試験は、英語、日本語、ポルトガル語で入手でき、世界中の承認されたピアソンビューテストセンターで撮影できます。この試験は適度に困難であると考えられており、候補者は試行する前に徹底的に準備することをお勧めします。
質問 # 15
In a tabular dataset, what term is used to describe the data that appears in a single row?
- A. Records.
- B. Field.
- C. Table.
- D. Attribute.
正解：A
質問 # 16
An analyst is creating a resource to improve users' experience when they select specific records based on particular dates. Which of the following should the analyst use to create a resource that best meets user needs?
- A. Text field
- B. Frequency
- C. Drop-down menu
- D. Date range
正解：C
解説：
Explanation
A drop-down menu is a graphical user interface element that allows users to select one option from a list of options that are hidden until the user clicks on the menu. A drop-down menu can be used to create a resource that best meets user needs when they select specific records based on particular dates, because:
A drop-down menu can provide a predefined list of dates or date ranges that are relevant and valid for the records, such as today, yesterday, last week, last month, custom range, etc. This can help users to avoid typing errors or invalid dates in a text field, and to save time and effort in entering the dates.
A drop-down menu can also provide a calendar or a date picker that allows users to select a specific date or a range of dates from a graphical representation of a calendar. This can help users to visualize and compare the dates, and to easily adjust or modify their selection.
A drop-down menu can improve the user experience by making the interface more compact and organized, as it only shows one option at a time and hides the rest of the options until the user clicks on the menu. This can help users to focus on their selection and to avoid clutter and distraction.
質問 # 17
Given the image below:
Which of the following file formats is depicted?
- A. XML
- B. JSON
- C. HTML
- D. CSV
正解：B
質問 # 18
Which of the following statements would be used to append two tables that have the same number of columns?
- A. JOIN
- B. GROUP BY
- C. UNION ALL
- D. MERGE
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 # 19
An analyst needs to conduct a quick analysis. Which of the following is the FIRST step the analyst should perform with the data?
- A. Conduct a trend analysis and use a scatter chart.
- B. Conduct an initial analysis and use a Pareto chart.
- C. Conduct a link analysis and illustrate the connection points.
- D. Conduct an exploratory analysis and use descriptive statistics.
正解：D
質問 # 20
Given the diagram below:
Which of the following data schemas shown?
- A. Data Lake
- B. Key-value pairs
- C. Relational database
- D. Online transactional processing
正解：C
解説：
A relational database is a type of database that organizes data into tables, where each table has a fixed number of columns and a variable number of rows. Each row in a table represents a record or an entity, and each column represents an attribute or a property of that entity. The tables are linked by common fields, called keys, which enable the database to establish relationships between the data. A relational database schema is a diagram that shows the structure and organization of the tables, columns, keys, and constraints in a relational database. The diagram given in the question is an example of a relational database schema, as it shows two tables: "Runs" and "Experiments", with their respective columns, data types, and primary keys. The "Runs" table also has a foreign key that references the "ExperimentId" column in the "Experiments" table, indicating a relationship between the two tables. Therefore, the correct answer is D. References: What is a database schema? | IBM, Database Schema - Javatpoint
質問 # 21
Which one the following is not considered an aggregate function?
- A. MAX
- B. MIN
- C. SUM
- D. SELECT
正解：D
解説：
The option that is not considered an aggregate function is SELECT. An aggregate function is a function that performs a calculation on a set of values and returns a single value. Examples of aggregate functions are SUM, MIN, MAX, AVG, COUNT, etc. SELECT is not an aggregate function, but a SQL command that is used to select data from a table or a query. Reference: SQL Aggregate Functions - W3Schools
質問 # 22
A data analyst needs to present the results of an online marketing campaign to the marketing manager. The manager wants to see the most important KPIs and measure the return on marketing investment. Which of the following should the data analyst use to BEST communicate this information to the manager?
- A. A spreadsheet of the raw data from all marketing campaigns and channels
- B. A summary with statistics, conclusions, and recommendations from the data analyst
- C. A sell-service dashboard that allows the manager to look at the company's annual budget performance
- D. A real-time monitor that allows the manager to view performance the day the campaign was launched
正解：B
解説：
The option that the data analyst should use to best communicate the information to the manager is a summary with statistics, conclusions, and recommendations from the data analyst. A summary is a concise and clear way of presenting the main findings and insights from the data analysis report. A summary should include relevant statistics that support the conclusions and recommendations from the data analyst. A summary should also highlight the most important KPIs and measure the return on marketing investment in relation to the objectives of the online marketing campaign. The other options are not as effective as using a summary to communicate the information to the manager, as they either provide too much or too little information or do not address the manager's needs or expectations. A real-time monitor may provide too much information that can be overwhelming or distracting for the manager who wants to see only the most important KPIs and measure the return on marketing investment. A self-service dashboard may provide too little information that can be insufficient or unclear for the manager who wants to see some guidance and interpretation from the data analyst. A spreadsheet of raw data may provide irrelevant or inaccurate information that can be confusing or misleading for the manager who wants to see some analysis and insights from the data analyst. Reference: [How to Write an Executive Summary for Your Data Analysis Report - Towards Data Science]
質問 # 23
Which of the following best describes the law of large numbers?
- A. As a sample size decreases, its standard deviation gets closer to the average of the whole population.
- B. When a sample size doubles. the sample is indicative of the whole population.
- C. As a sample size grows, its mean 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.
正解：C
解説：
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 # 24
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. Deploy to production.
- B. Get stakeholder approval.
- C. Optimize the dashboard.
- D. Create subscriptions.
正解：B
質問 # 25
Which of the following data types best describe 4Ac1? (Select two).
- A. Float
- B. Boolean
- C. Alphanumeric
- D. Numeric
- E. String
- F. Symbolic
正解：C、E
解説：
The term '4Ac1' is a combination of numbers and letters, which fits the definition of an alphanumeric string.
Alphanumeric refers to a character set that contains both letters and numbers. In data analytics and programming, such a value is typically treated as a string, which is a sequence of characters. Strings can include letters, digits, and various other symbols.
A numeric data type would only include numbers, and a float is a specific kind of numeric data type that includes decimal points, neither of which applies to '4Ac1'. A boolean data type represents one of two values:
true or false. Since '4Ac1' does not represent a true or false value, it cannot be classified as boolean. Lastly, symbolic is not a standard data type in the context of programming and data analytics.
References:
* Understanding Python 3 data types1.
* Basic Data Types in Python2.
* Java Data Types3.
質問 # 26
A customer list from a financial services company is shown below:
A data analyst wants to create a likely-to-buy score on a scale from 0 to 100, based on an average of the three numerical variables: number of credit cards, age, and income. Which of the following should the analyst do to the variables to ensure they all have the same weight in the score calculation?
- A. Calculate the percentiles of the variables.
- B. Calculate the standard deviations of the variables.
- C. Normalize the variables.
- D. Recode the variables.
正解：C
解説：
Explanation
Normalizing the variables means scaling them to a common range, such as 0 to 1 or -1 to 1, so that they have the same weight in the score calculation. Recoding the variables means changing their values or categories, which would alter their meaning and distribution. Calculating the percentiles of the variables means ranking them relative to each other, which would not account for their actual magnitudes. Calculating the standard deviations of the variables means measuring their variability, which would not make them comparable.
References: CompTIA Data+ Certification Exam Objectives, page 10
質問 # 27
An analyst has been asked to validate data quality. Which of the following are the BEST reasons to validate data for quality control purposes? (Choose two.)
- A. Deletion
- B. Transmission
- C. Integrity
- D. Consistency
- E. Retention
- F. Encryption
正解：C
解説：
Explanation
Integrity and D. Consistency. This is because integrity and consistency are two of the best reasons to validate data for quality control purposes, which means to check and ensure that the data is accurate, complete, reliable, and usable for the intended analysis or purpose. By validating data for integrity and consistency, the analyst can prevent or correct any errors or issues in the data that could affect the validity or reliability of the analysis or the results. Here is what integrity and consistency mean in terms of data quality:
Integrity refers to the completeness and validity of the data, which means that the data has no missing, incomplete, or invalid values that could compromise its meaning or usefulness. For example, validating data for integrity could involve checking for null values, outliers, or incorrect data types in the data set.
Consistency refers to the uniformity and standardization of the data, which means that the data follows a common format, structure, or rule across different sources or systems. For example, validating data for consistency could involve checking for spelling, punctuation, or capitalization errors in the data set.
The other reasons are not the best reasons to validate data for quality control purposes. Here is why:
Retention refers to the storage and preservation of the data, which means that the data is kept and maintained in a secure and accessible way for future use or reference. Retention does not need to be validated for quality control purposes, because it does not affect the accuracy or reliability of the data itself.
Transmission refers to the transfer and exchange of the data, which means that the data is moved or shared between different sources or systems in a fast and efficient way. Transmission does not need to be validated for quality control purposes, because it does not affect the completeness or validity of the data itself.
Encryption refers to the protection and security of the data, which means that the data is encoded or scrambled in a way that prevents unauthorized access or use. Encryption does not need to be validated for quality control purposes, because it does not affect the uniformity or standardization of the data itself.
Deletion refers to the removal and disposal of the data, which means that the data is erased or destroyed in a way that prevents recovery or retrieval. Deletion does not need to be validated for quality control purposes, because it does not affect the meaning or usefulness of the data itself.
質問 # 28
While reviewing survey data, a research analyst notices data is missing from all the responses to a single question. Which of the following methods would BEST address this issue?
- A. Remove invalid data.
- B. Replace redundant data.
- C. Replace missing data.
- D. Remove duplicate data.
正解：C
解説：
This is because missing data is a type of data quality issue that occurs when data is absent or incomplete in a data set, which can affect the accuracy and reliability of the analysis or process. Missing data can be caused by various factors, such as human error, system error, or non-response. Missing data can be addressed by using various methods, such as replacing missing data, which means filling in or imputing the missing values with some reasonable estimates, such as mean, median, mode, or regression. The other methods are not used to address missing data. Here is why:
Remove duplicate data is a type of method that eliminates or reduces duplicate data, which is a type of data quality issue that occurs when data is repeated or copied in a data set. Removing duplicate data does not address missing data, but rather affects the quantity and validity of the data.
Replace redundant data is a type of method that eliminates or reduces redundant data, which is a type of data quality issue that occurs when data is unnecessary or irrelevant for the analysis or purpose. Replacing redundant data does not address missing data, but rather affects the efficiency and performance of the analysis or process.
Remove invalid data is a type of method that eliminates or reduces invalid data, which is a type of data quality issue that occurs when data is incorrect or inaccurate in a data set. Removing invalid data does not address missing data, but rather affects the validity and reliability of the analysis or process.
質問 # 29
A company's human resources department has asked a data analyst to categorize the income of all employees into five salary bands:
Which of the following types of functions would be the most appropriate to use?
- A. Aggregate
- B. Mathematical
- C. Logical
- D. Statistical
正解：C
解説：
Short explanation: Logical functions are the most appropriate to use for categorizing data into bands, because they allow the data analyst to apply conditional statements and criteria to the data values. For example, the IF function can be used to assign a band name based on whether a value meets a certain condition or not. Other logical functions that can be useful for categorizing data are AND, OR, NOT, and IFERROR12
質問 # 30
......
DA0-001認定ガイドPDFは100%カバー率でリアル試験問題：https://jp.fast2test.com/DA0-001-premium-file.html
DA0-001試験問題集を提供していますCompTIA問題：https://drive.google.com/open?id=1JfvJ3y3ZM7yL92_w0VFs-JSkxR2T0PR9