DA0-001リアルな試験問題DA0-001練習問題集
厳密検証されたDA0-001試験問題集と解答で無料提供のDA0-001問題と正解付き
Comptia Data+認定試験は、データストレージと管理、セキュリティ、プライバシー、倫理など、幅広いトピックをカバーしています。この試験に合格した候補者は、構造化されたデータや非構造化データなど、さまざまな種類のデータを使用する能力、およびデータ管理のベストプラクティスの理解を示しています。
Comptia Data+認証としても知られるComptia DA0-001は、データ管理の分野で働く個人の知識とスキルをテストするために設計されたベンダー中立認証試験です。この認定は、専門家が大規模なデータセットを収集、分析、解釈し、分析に基づいて情報に基づいた決定を下す能力を検証します。この試験では、データストレージ、データ品質、データの視覚化、データガバナンス、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。これは、データ分析またはデータ管理のキャリアを追求することに関心のある個人にとって理想的な認定です。
質問 # 20
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. Logical
- B. Date
- C. Aggregate
- D. Sort
正解：D
質問 # 21
Which of the following can be used to translate data into another form so it can only be read by a user who has a key or a password?
- A. Data transmission.
- B. Data masking.
- C. Data encryption.
- D. Data protection.
正解：C
解説：
Data encryption is a way of translating data from plaintext (unencrypted) to ciphertext (encrypted). Users can access encrypted data with an encryption key and decrypted data with a decryption key.
質問 # 22
The current date is July 14, 2020. A data analyst has been asked to create a report that shows the company's year-over-year Q2 2020 sales. Which of the following reports should the analyst compare?
- A. A Q2 2020 and Q4 2019
- B. Q2 2020 and Q2 2021
- C. YTD 2020 and YTD 2019
- D. Q2 2020 and Q2 2019
正解：D
解説：
Explanation
To create a report that shows the company's year-over-year Q2 2020 sales, the analyst should compare the sales data from Q2 2020 and Q2 2019. Year-over-year (YoY) analysis is a method of comparing the performance of a business or a financial instrument over the same period in different years. It helps to identify trends, growth patterns, and seasonal fluctuations. Q2 refers to the second quarter of a year, which is usually from April to June. Therefore, the correct answer is C. References: YoY - Year over Year Analysis - Definition, Explanation & Examples, What is an Annual Sales Report: Definition, metrics, and tips - Snov.io
質問 # 23
What R package makes it easy to work with dates?
- A. Stringr.
- B. Datemath.
- C. ggplot.
- D. Lubridate.
正解：D
解説：
Lubridate is an R package that makes it easier to work with dates and times.
質問 # 24
Data stewards protect the organization from legal violations that may result in costly fines and negative publicity.
- A. True.
- B. False.
正解：A
質問 # 25
An analyst is working on a project for a director. During this process. the analyst pulled the data. 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 an audit on the data pulled for the report.
- C. Complete a check for quality in the report.
- D. Complete a trend analysis to be included in the report.
正解：C
解説：
Explanation
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 # 26
What is the final stage of the data lifecycle?
- A. Archive.
- B. Destroy.
- C. Share.
- D. Store.
正解：B
解説：
Destroying data means it can no longer be read by an operating system or application. Merely deleting a file is insufficient. When you delete a file on an electronic device, you may not be able to see it any longer, but the information is still stored on the device's hard drive or memory chip.
When the time comes that you no longer need a document or set of documents, you should destroy them. Providing that they don't relate to company information, clients or employees, you are able to destroy them as frequently as you please.
質問 # 27
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. Recode the variables.
- D. Normalize the variables.
正解：D
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 # 28
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. Frequently asked questions
- D. The data refresh date
正解：B
質問 # 29
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. Normalization.
- B. Transposition.
- C. Aggregation.
- D. Filtering.
正解：A
解説：
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 # 30
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. Observation.
- B. Variable.
- C. Sample.
- D. Population.
正解：C
解説：
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.
質問 # 31
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
解説：
Explanation
This is because web scraping is a technique that allows the analyst to extract data from web pages, such as articles from a digital news outlet. Web scraping can be done using various tools and methods, such as Python libraries, browser extensions, or online services. The other techniques are not suitable for acquiring data from web pages. Here is why:
Sampling is a technique that involves selecting a subset of data from a larger population, usually for statistical analysis or testing purposes. Sampling does not help the analyst to acquire data from web pages, but rather to reduce the amount of data to be analyzed.
Data wrangling is a technique that involves transforming and cleaning data to make it suitable for analysis or visualization. Data wrangling does not help the analyst to acquire data from web pages, but rather to improve the quality and usability of the data.
ETL stands for Extract, Transform, and Load, which is a process that involves moving data from one or more sources to a destination, such as a data warehouse or a database. ETL does not help the analyst to acquire data from web pages, but rather to store and organize the data.
質問 # 32
Angela is aggregating data from CRM system with data from an employee system.
While performing an initial quality check, she realizes that her employee ID is not associated with her identifier in the CRM system.
What kind of issues is Angela facing?
Choose the best answer.
- A. ELT process.
- B. ETL process.
- C. Record linkage.
- D. System integration.
正解：C
解説：
Explanation
While this scenario describes a system integration challenge that can be solved with ETL or ELT, Angela is facing a Record linkage issue.
質問 # 33
An analyst needs to provide a chart to identify the composition between the categories of the survey response data set:
Which of the following charts would be BEST to use?
- A. Scatter pot
- B. Line
- C. Pie
- D. Waterfall
- E. Histogram
正解：C
質問 # 34
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. Replace redundant data.
- B. Replace missing data.
- C. Remove duplicate data.
- D. Remove invalid data.
正解：B
質問 # 35
Alex wants to use data from his corporate sale, CRM, and shipping systems to try and predict future sales.
Which of the following systems is the most appropriate?
Choose the best answer.
- A. Data mart.
- B. Data Warehouse.
- C. OLTP.
- D. OLAP.
正解：B
解説：
Correct answer: C. Data Warehouse.
Data warehouse bring together data from multiple systems used by an organization.
A data mart is too narrow, as Alex needs data from across multiple divisions.
OLAP is a broad term of analytical processing, and OLTP systems are transactional and not ideal for this task.
質問 # 36
A military commander would like to see the health scorecards of the troops daily and filter them based on gender and rank. Considering this data is PHI, which of the following would be the best way for the commander to view the information?
- A. A daily printout of a report
- B. An emailed report
- C. A password-protected dashboard
- D. A cloud-hosted spreadsheet
正解：C
解説：
Explanation
A password-protected dashboard is a type of web-based application that can display the health scorecards of the troops in a secure and interactive way. A password-protected dashboard can provide the following benefits for the commander:
It can protect the PHI data from unauthorized access or disclosure by requiring a valid username and password to log in. This can ensure that only the commander and other authorized personnel can view the information12 It can allow the commander to filter the data based on gender and rank by using drop-down menus, sliders, checkboxes, or other controls. This can enable the commander to customize the view and focus on the relevant data13 It can update the data daily by connecting to a data source that refreshes automatically or on demand. This can ensure that the commander always sees the latest and most accurate information14 It can present the data in a visual and intuitive way by using charts, graphs, tables, or other elements. This can help the commander to understand and analyze the data more easily and effectively1
質問 # 37
Andrew conducts a study and wants to capture eye color.
What kind of data is eye color?
Choose the best response.
- A. Continuous.
- B. Categorical.
- C. Alphanumeric.
- D. Discrete.
正解：B
解説：
Correct answer B. Categorical.
Eye color can only fall into a certain range of values; as such, it is categorical.
質問 # 38
Which of the following are reasons to create and maintain a data dictionary? (Choose two.)
- A. To improve data acquisition
- B. To remember specifics about data fields
- C. To provide continuity through personnel turnover
- D. To reduce processing power requirements
- E. To specify user groups for databases
- F. To confine breaches of PHI data
正解：A、B
質問 # 39
The number of phone calls that call center receives in a day is an example of:
- A. discrete data.
- B. categorical data.
- C. continuous data.
- D. ordinal data.
正解：A
質問 # 40
Which one of the following would not normally be considered a summary statistic?
- A. Mean.
- B. z-score.
- C. Standard deviation.
- D. Variance.
正解：B
解説：
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.
質問 # 41
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. Recording
- B. Transposition.
- C. Aggregation.
- D. Filtering.
正解：B
解説：
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 # 42
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