100%無料DA0-001試験問題集で試験を簡単に合格させるJPNTest
無料DA0-001試験問題DA0-001実際のリアル試験問題
Comptia DA0-001またはComptia Data+認定試験は、データ管理の分野で個人のスキルと知識を検証するように設計された認定です。この認定は、IT業界でのキャリアを追求したい個人にIT認定とトレーニングを提供する非営利組織であるComputing Technology Industry Association（CompTIA）によって提供されます。
質問 # 72
A data analyst needs to create a weekly recurring report on sales performance and distribute it to all sales managers. Which of the following would be the BEST method to automate and ensure successful delivery for this task?
- A. Use scheduled report delivery.
- B. Print out a copy.
- C. Upload the report to the server.
- D. Implement subscription access delivery.
正解：A
解説：
Explanation
Scheduled report delivery is a feature that allows a data analyst to automate the generation and distribution of a report at a specified time and frequency. This would be the best method to ensure that the sales managers receive the weekly report on sales performance without manual intervention. Subscription access delivery is a feature that allows users to subscribe to a report and access it on demand, but it does not automate the delivery.
Printing out a copy or uploading the report to the server are manual methods that require more time and effort from the data analyst. Reference: CertMaster Practice for Data+ Exam Prep - CompTIA
質問 # 73
What data obfuscation technique is designed to be reversible?
- A. Masking
- B. Hashing
- C. Tokenization
- D. Deletion
正解：C
質問 # 74
Which of the following actions should be taken when transmitting data to mitigate the chance of a data leak occurring? (Choose two.)
- A. Fata removal
- B. Data reporting
- C. Data masking
- D. Data encryption
- E. Data processing
- F. Data identification
正解：C、D
質問 # 75
A data analyst for a media company needs to determine the most popular movie genre. Given the table below:
Which of the following must be done to the Genre column before this task can be completed?
- A. Append
- B. Delimit
- C. Merge
- D. Concatenate
正解：B
解説：
Explanation
Delimiting is the process of splitting a column of data into multiple columns based on a separator or delimiter character. Delimiting can help separate data that is combined or concatenated in one column into distinct values or categories. For example, if a column contains text values that are separated by commas, such as
"Comedy, Suspense", delimiting can split this column into two columns, one for "Comedy" and one for
"Suspense". Delimiting is different from other options, such as appending, merging, or concatenating, which are methods of combining or joining data from multiple columns or sources. In this case, the data analyst needs to determine the most popular movie genre based on the Genre column in the table. However, this column contains multiple genres for each movie, separated by commas. Therefore, the data analyst must delimit this column before this task can be completed. Therefore, the correct answer is D. References: Split text into different columns with functions - Office Support, How to Split Text in Excel (Using Formulas & Split Function)
質問 # 76
Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?
- A. Microsoft Power BI
- B. IBM SPSS
- C. Python
- D. SAS
正解：C
解説：
Explanation
Python is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language. Python has a simple and expressive syntax that makes it easy to read and write code.
Python also has a rich set of libraries and frameworks that support various tasks and applications in data analytics, such as data manipulation, visualization, machine learning, natural language processing, web scraping, and more. Some examples of popular Python libraries for data analytics are pandas, numpy, matplotlib, seaborn, scikit-learn, nltk, and beautifulsoup. Python is different from other data analytics tools that are not programming languages but rather software applications or platforms that provide graphical user interfaces (GUIs) for data analysis and visualization. Some examples of these tools are SAS, Microsoft Power BI, IBM SPSS. Therefore, the correct answer is D. References: [What is Python? | Definition and Examples],
[Python Libraries for Data Science]
質問 # 77
A data analyst needs to calculate the mean for Q1 sales using the data set below:
Which of the following is the mean?
- A. $2,466.18
- B. $3,082.72
- C. $2,667.60
- D. $12,330.88
正解：B
質問 # 78
Which of the following BEST describes standard deviation?
- A. A measure that is used to find the significant difference between variables
- B. A measure of the amount of dispersion of a set of values
- C. A measure that is used to establish a relationship between two variables
- D. A measure of how data is distributed
正解：B
解説：
Explanation
A measure of the amount of dispersion of a set of values. This is because standard deviation is a type of statistical measure that quantifies how much the values in a data set vary or deviate from the mean or the average of the data set. Standard deviation can be used to describe the spread or the distribution of the data, as well as to identify any outliers or extreme values in the data. For example, a low standard deviation indicates that the values are close to the mean, while a high standard deviation indicates that the values are far from the mean. The other options are not correct descriptions of standard deviation. Here is why:
A measure that is used to establish a relationship between two variables is not a correct description of standard deviation, but rather a description of correlation or regression, which are types of statistical measures that quantify how two variables are related or associated with each other. Correlation or regression can be used to test or model the dependence or the influence of one variable on another variable, as well as to predict or estimate the value of one variable based on the value of another variable.
A measure of how data is distributed is not a correct description of standard deviation, but rather a description of frequency or probability, which are types of statistical measures that quantify how often or how likely a value or an event occurs in a data set. Frequency or probability can be used to describe the occurrence or the chance of the data, as well as to compare or contrast different categories or groups of the data.
A measure that is used to find the significant difference between variables is not a correct description of standard deviation, but rather a description of hypothesis testing or inferential statistics, which are types of statistical methods that use sample data to make generalizations or conclusions about a population or a parameter. Hypothesis testing or inferential statistics can be used to test or verify a claim or an assumption about the data, as well as to measure the confidence or the error of the estimation.
質問 # 79
While reviewing survey data, an analyst notices respondents entered "Jan," "January," and "01" as responses for the month of January. Which of the following steps should be taken to ensure data consistency?
- A. Sort any of the responses that say "Jan" and update them to "01".
- B. Delete any of the responses that do not have "January" written out.
- C. Replace any of the responses that have "01".
- D. Filter on any of the responses that do not say "January" and update them to "January".
正解：D
質問 # 80
What type of regulation is the Payment Card Industry Data Security Standard (PCIDSS)?
- A. Administrative law
- B. Criminal law
- C. Civil law
- D. Industry regulation
正解：D
質問 # 81
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. Filtering.
- C. Aggregation.
- D. Recording
正解：A
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 # 82
Which of the following would be considered non-personally identifiable information?
- A. Telephone number
- B. Government ID number
- C. Customer's name
- D. Cell phone device name
正解：D
解説：
Explanation
Non-personally identifiable information (non-PII) is any data that cannot be used to identify, contact, or locate a specific individual, either alone or combined with other sources. Non-PII can include aggregated statistics, anonymous data, device identifiers, IP addresses, cookies, and other types of information that do not reveal the identity or location of a person. Cell phone device name is an example of non-PII, as it does not reveal any personal information about the owner or user of the device. Therefore, the correct answer is A. References:
What is Non-Personally Identifiable Information (Non-PII)? | Definition and Examples, What is Personally Identifiable Information (PII)? | Definition and Examples
質問 # 83
A data analyst has been asked to merge the tables below, first performing an INNER JOIN and then a LEFT JOIN:
Customer Table -
In-store Transactions -
Which of the following describes the number of rows of data that can be expected after performing both joins in the order stated, considering the customer table as the main table?
- A. INNER: 15 rows; LEFT: 9 rows
- B. INNER: 6 rows; LEFT: 9 rows
- C. INNER: 9 rows; LEFT: 15 rows
- D. INNER: 9 rows; LEFT: 6 rows
正解：C
解説：
Explanation
An INNER JOIN returns only the rows that match the join condition in both tables. A LEFT JOIN returns all the rows from the left table, and the matched rows from the right table, or NULL if there is no match. In this case, the customer table is the left table and the in-store transactions table is the right table. The join condition is based on the customer_id column, which is common in both tables.
To perform an INNER JOIN, we can use the following SQL query:
SELECT * FROM customer INNER JOIN in_store_transactions ON customer.customer_id = in_store_transactions.customer_id; This query will return 9 rows of data, as shown below:
customer_id | name | lastname | gender | marital_status | transaction_id | amount | date 1 | MARC | TESCO | M
| Y | 1 | 1000 | 2020-01-01 1 | MARC | TESCO | M | Y | 2 | 5000 | 2020-01-02 2 | ANNA | MARTIN | F | N | 3 |
2000 | 2020-01-03 2 | ANNA | MARTIN | F | N | 4 | 3000 | 2020-01-04 3 | EMMA | JOHNSON | F | Y | 5 |
4000 | 2020-01-05 4 | DARIO | PENTAL | M | N | 6 | 5000 | 2020-01-06 5 | ELENA | SIMSON| F| N|7|6000|2020-01-07 6|TIM|ROBITH|M|N|8|7000|2020-01-08 7|MILA|MORRIS|F|N|9|8000|2020-01-09 To perform a LEFT JOIN, we can use the following SQL query:
SELECT * FROM customer LEFT JOIN in_store_transactions ON customer.customer_id = in_store_transactions.customer_id; This query will return 15 rows of data, as shown below:
customer_id|name|lastname|gender|marital_status|transaction_id|amount|date
1|MARC|TESCO|M|Y|1|1000|2020-01-01 1|MARC|TESCO|M|Y|2|5000|2020-01-02
2|ANNA|MARTIN|F|N|3|2000|2020-01-03 2|ANNA|MARTIN|F|N|4|3000|2020-01-04
3|EMMA|JOHNSON|F|Y|5|4000|2020-01-05 4|DARIO|PENTAL|M|N|6|5000|2020-01-06
5|ELENA|SIMSON||F||N||7||6000||2020-01-07 6||TIM||ROBITH||M||N||8||7000||2020-01-08
7||MILA||MORRIS||F||N||9||8000||2020-01-09 8||JENNY||DWARTH||F||Y||NULL||NULL||NULL As you can see, the customers who do not have any transactions (customer_id = 8) are still included in the result, but with NULL values for the transaction_id, amount, and date columns.
Therefore, the correct answer is C: INNER: 9 rows; LEFT: 15 rows.
質問 # 84
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：A
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 # 85
A development company is constructing a new unit in its apartment complex. The complex has the following floor plans:
Using the average cost per square foot of the original floor plans, which of the following should be the price of the Rose unit?
- A. $690,000
- B. $705,200
- C. $702,500
- D. $640,900
正解：B
解説：
Explanation
This is because the price of the Rose unit can be estimated using the average cost per square foot of the original floor plans, which are Jasmine, Orchid, Azalea, and Tulip. To find the average cost per square foot of the original floor plans, we can use the following formula:
Plugging in the values from the original floor plans, we get:
To find the price of the Rose unit, we can use the following formula:
Plugging in the values from the Rose unit, we get:
Therefore, the price of the Rose unit should be $705,200, using the average cost per square foot of the original floor plans.
質問 # 86
What analytics suite is offered by Microsoft and directly integrates with SQL Server Databases?
- A. Domo.
- B. Dataroma.
- C. Qlik.
- D. Power BI.
正解：D
解説：
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses.
質問 # 87
You are working with a dataset and want to change the names of categories that you used for different types of books.
What term best describes this action?
- A. Aggregating.
- B. Filtering.
- C. Recording.
- D. Summarizing
正解：C
質問 # 88
Analytics reports should follow corporate style guidelines.
- A. True.
- B. False.
正解：A
質問 # 89
Which dimension of data quality ensures that data stored in multiple locations is the same?
- A. Validity.
- B. Consistency.
- C. Completeness.
- D. Accuracy.
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 # 90
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 duplication
- B. Data integrity
- C. Data accuracy
- D. Data completeness
正解：B
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 # 91
Which one of the following is NOT one of the five dimensions of data quality?
- A. Confidentiality.
- B. Completeness.
- C. Accuracy
- D. Consistency.
正解：A
質問 # 92
......
最新100%合格率保証付きの素晴らしいDA0-001試験問題PDF：https://www.jpntest.com/shiken/DA0-001-mondaishu