Exam Questions Answers Braindumps DA0-001 Exam Dumps PDF Questions [Q76-Q97]

Exam Questions Answers Braindumps DA0-001 Exam Dumps PDF Questions

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NEW QUESTION # 76
Exhibit.

Which of the following logical statements results in Table B?

Answer: B

Explanation:
The logical statement that results in Table B is Option D. Option D is a logical statement that uses the AND operator to combine two conditions: Name = "Tom" and Region = "BC". The AND operator returns true only if both conditions are true, otherwise it returns false. Therefore, Option D will select only the rows from Table A that satisfy both conditions, which are rows 4, 5, 6, and 7. These rows form Table B, as shown below:
Name | Gender flag | Level | College | Code | Region Tom | Male | Elementary | A | BC | BC Kim | Female | Elementary | A | BC | BC Pat | Female | Elementary | A | BC | BC Ben | Male | Elementary | A | BC | BC The other options are not correct, as they use different logical operators or conditions that do not result in Table B. Option A uses the OR operator, which returns true if either condition is true, or both. Option A will select all the rows from Table A except row 3, which does not match either condition. Option B uses the NOT operator, which returns the opposite of the condition. Option B will select all the rows from Table A except rows 4, 5, 6, and 7, which match the condition. Option C uses a different condition, Region = "ON", which does not match any row in Table A. Option C will select no rows from Table A. Reference: [SQL Logical Operators - W3Schools]

NEW QUESTION # 77
A sales analyst needs to report how the sales team is performing to target. Which of the following files will be important in determining 2019 performance attainment?

A. 2019 commission plan
B. 2018 actual revenue
C. 2018 goal data
D. 2019 goal data

Answer: D

Explanation:
Explanation
answer: C. 2019 goal data
To report how the sales team is performing to target, the sales analyst needs to compare the actual sales revenue with the expected or planned sales revenue for the same period. The 2019 goal data is the file that contains the expected or planned sales revenue for the year 2019, which is the target that the sales team is aiming to achieve. By comparing the 2019 goal data with the 2019 actual revenue, the sales analyst can calculate the performance attainment, which is the percentage of the goal that was met by the sales team.
Option A is incorrect, as 2018 goal data is not relevant for determining 2019 performance attainment. The
2018 goal data contains the expected or planned sales revenue for the year 2018, which is not the target that the sales team is aiming to achieve in 2019.
Option B is incorrect, as 2018 actual revenue is not relevant for determining 2019 performance attainment.
The 2018 actual revenue contains the actual sales revenue for the year 2018, which is not comparable with the
2019 goal data or the 2019 actual revenue.
Option D is incorrect, as 2019 commission plan is not relevant for determining 2019 performance attainment.
The 2019 commission plan contains the rules and rates for calculating and paying commissions to the sales team based on their performance attainment, but it does not contain the expected or planned sales revenue for the year 2019.

NEW QUESTION # 78
What is the final stage of the data lifecycle?

A. Store.
B. Archive.
C. Share.
D. Destroy.

Answer: D

Explanation:
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.

NEW QUESTION # 79
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: 6 rows; LEFT: 9 rows
B. INNER: 9 rows; LEFT: 15 rows
C. INNER: 9 rows; LEFT: 6 rows
D. INNER: 15 rows; LEFT: 9 rows

Answer: B

NEW QUESTION # 80
Which of the following best describes a difference between JSON and XML?

A. JSON is much more difficult to parse.
B. JSON is quicker to read and write.
C. JSON has to use an end tag.
D. JSON strings are longer

Answer: B

Explanation:
The best answer is A. JSON is quicker to read and write.
JSON (JavaScript Object Notation) is a lightweight data-interchange format that is based on the JavaScript programming language and easy to understand and generate. JSON uses a simple syntax that consists of name- value pairs and arrays, and does not require any end tags or attributes. JSON is quicker to read and write than XML (Extensible Markup Language), which is a markup language that uses a tag structure to represent data items. XML has a more complex and verbose syntax that requires end tags, attributes, and namespaces123

NEW QUESTION # 81
Standardized tests are given to students in the middle of each month, and the results are ready by the end of the month. The superintendent needs a quick view of test performance. Which of the following would be the best recommendation to meet the superintendent's requirements?

A. A report of test scores by classroom, emailed to the superintendent at the end of the month
B. A dashboard with a scheduled delivery, the ability to filter scores by school, and bar charts for comparison
C. A report of test scores with pie charts showing student performance
D. A dashboard with a continuous data stream and saved searches

Answer: B

Explanation:
A dashboard with a scheduled delivery is an efficient way to provide a quick view of test performance. It allows for timely updates, which is crucial given that the superintendent needs the information promptly at the end of each month. The ability to filter scores by school enables the superintendent to easily segment and analyze the data as needed. Bar charts are effective for comparison and can visually communicate the performance across different schools or other categories, making it easier to identify trends and outliers at a glance.
References:
* Best practices in data visualization recommend using dashboards for real-time data monitoring and quick access to key metrics1.
* Guidelines for presenting performance data suggest that visual tools like bar charts are helpful in comparing and analyzing data effectively1.
* Educational performance data analysis often involves comparing scores across different schools or classrooms, which is facilitated by a well-designed dashboard2.

NEW QUESTION # 82
An analyst is preparing a report that contains weather data. The temperatures are shown in Fahrenheit. but they must be reported in Celsius. Which of the following should the analyst do to fix this issue?

A. Aggregate the data.
B. Normalize the data.
C. Rescale the data.
D. Standardize the data.

Answer: C

Explanation:
The analyst should rescale the data to fix this issue. Rescaling is a process of transforming data from one scale to another, such as changing the units of measurement. In this case, the analyst needs to rescale the temperatures from Fahrenheit to Celsius, which are two different scales for measuring temperature. To do this, the analyst can use the following formula:
Celsius = (Fahrenheit - 32) * 5/9
This formula converts each temperature value from Fahrenheit to Celsius by subtracting 32 and multiplying by 5/9. For example, if the temperature is 68°F, the rescaled value in Celsius is:
Celsius = (68 - 32) * 5/9 Celsius = 20°C
Rescaling the data can help the analyst to report the temperatures in a consistent and accurate way, and to avoid any confusion or errors that may arise from using different scales. Rescaling can also make the data more comparable and compatible with other data sources or standards that use the same scale12.

NEW QUESTION # 83
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 a trend analysis to be included in the report.
C. Complete a check for quality in the report.
D. Complete an audit on the data pulled for the report.

Answer: C

Explanation:
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.

NEW QUESTION # 84
Mario works with a group of R programmers tasked with copying data from an accounting system into a data warehouse.
In what phase are the group's R skills most relevant?

A. Purge.
B. Extract.
C. Transform.
D. Load.

Answer: C

Explanation:
Correct answer C. Transform
The R programming language is used to manipulate and model data.
In the ETL process, this activity normally takes place during the Transform phase.
The Extract and Load phases typically use database-centric tools.
Purging data from database is typically done using SQL.

NEW QUESTION # 85
Which of the following BEST describes standard deviation?

A. A measure of how data is distributed
B. A measure that is used to find the significant difference between variables
C. A measure that is used to establish a relationship between two variables
D. A measure of the amount of dispersion of a set of values

Answer: D

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.

NEW QUESTION # 86
Which of the following is the best description of the term "data governance"?

A. Data governance is the policy that protects against data breaches by cybercriminals.
B. Data governance governs the development of a data visualization dashboard in an organization.
C. Data governance is the availability, usability, integrity, and security of data in an enterprise.
D. Data governance is the process of analyzing, manipulating, and reporting data in an organization.

Answer: C

NEW QUESTION # 87
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 accuracy
B. Data duplication
C. Data integrity
D. Data completeness

Answer: C

Explanation:
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

NEW QUESTION # 88
Which action is mandated by the Gramm-Leach-Bliley Act (GLBA) Safeguards Rule?

A. The distinguishing between consumers and customers.
B. The disclosure of information sharing practices.
C. The development of written information security policy.
D. The provision of a privacy notice to consumers.

Answer: C

NEW QUESTION # 89
An analyst develops an IT document and needs to describe the technical terms used in the document. Which of the following is where the analyst should include descriptions of the technical terms?

A. System diagram
B. User requirements
C. Index
D. Glossary

Answer: D

Explanation:
In technical documentation, a glossary is the designated section where definitions for technical terms are provided. It serves as a reference point for readers to understand specialized or uncommon words used within the document. Including descriptions of technical terms in a glossary ensures that readers have a consistent resource to refer to, which can improve comprehension and reduce misunderstandings12.
A system diagram (Option B) is a visual representation of the system's components and their interactions, not a place for defining terms. User requirements (Option C) outline what end-users expect from the system, and an index (Option D) is an alphabetical list of topics covered in the document, usually with page numbers, but not definitions.
References:
* Creating effective technical documentation1.
* Best practices when writing technical descriptions3.

NEW QUESTION # 90
An analyst runs a report on a daily basis, and the number of datapoints must be validated before the data can be analyzed. The number of datapoints increases each day by approximately 20% of the total number from the day before. On a given day, the number of datapoints was 8,798. Which of the following should be the total number of datapoints on the next day?

A. 9,600
B. 10,600
C. 10,800
D. 7,038

Answer: D

NEW QUESTION # 91
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. Simple random
B. Systematic
C. Stratified
D. Cluster

Answer: C

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.

NEW QUESTION # 92
What type of regulation is the Payment Card Industry Data Security Standard (PCIDSS)?

A. Criminal law
B. Industry regulation
C. Administrative law
D. Civil law

Answer: B

NEW QUESTION # 93
What is the maximum number of values that may be assigned to a single key in a key/value store?

A. 0
B. 1
C. No maximum
D. 2

Answer: C

NEW QUESTION # 94
Which of the following differentiates a flat text file from other data types?

A. Data is separated by a delimiter.
B. Data is defined with key-value pairs.
C. Data is stored in defined rows.
D. Data is housed in a markup language.

Answer: A

Explanation:
Explanation
A flat text file is a type of data file that contains only plain text without any formatting or markup. Data in a flat text file is usually separated by a delimiter, which is a character that marks the boundary between different fields or values. For example, a comma-separated values (CSV) file is a flat text file that uses commas as delimiters. Other common delimiters are tabs, spaces, semicolons, and pipes. Therefore, the correct answer is A: References: Plain text - Wikipedia, Comparison of document markup languages - Wikipedia

NEW QUESTION # 95
Which of the following is the first step an analyst should perform upon receiving a business request for analysis?

A. Finalize the methodology to solve the problem.
B. Review the business questions to understand the scope.
C. Determine the data needs and sources for analysis.
D. Initiate the analysis for exploratory data analysis.

Answer: B

Explanation:
Answer C) Review the business questions to understand the scope.
The first step an analyst should perform upon receiving a business request for analysis is to review the business questions to understand the scope of the problem, the objectives, and the expected outcomes. This will help the analyst to define the analytical approach, identify the data needs and sources, and plan the analysis process. Reviewing the business questions will also help the analyst to communicate with the stakeholders and clarify any assumptions or ambiguities1.
Option A is incorrect, as determining the data needs and sources for analysis is not the first step, but rather a subsequent step that depends on the business questions and the analytical approach.
Option B is incorrect, as initiating the analysis for exploratory data analysis is not the first step, but rather a part of the analysis process that involves examining and summarizing the data, identifying patterns and outliers, and testing hypotheses.
Option D is incorrect, as finalizing the methodology to solve the problem is not the first step, but rather a later step that involves selecting and applying the appropriate analytical techniques, tools, and models to answer the business questions.

NEW QUESTION # 96
A data analyst is helping a retail store categorize its customers into five different groups based on the following information:
* How recently the customers made purchases
* How frequently the customers made purchases
* How much the customers spent
Given the following information:

Which of the following would be most important for the analysis?