[Q103-Q122] DA0-001 100% Guarantee Download DA0-001 Exam PDF Q&A [May 19, 2024]

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DA0-001 100% Guarantee Download DA0-001 Exam PDF Q&A [May 19, 2024]

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CompTIA DA0-001 exam, also known as the CompTIA Data+ Certification, is a certification exam that is designed to test the knowledge and skills of individuals when it comes to data management and analysis. DA0-001 exam is ideal for individuals who are looking to expand their skill set and knowledge in the field of data management and analysis. DA0-001 exam covers a wide range of topics, including data storage, data manipulation, data analysis, and data visualization.

 

NEW QUESTION # 103
Five dogs have the following heights in millimeters:
300, 430, 170, 470, 600
Which of the following is the mean height for the five dogs?

  • A. 394mm
  • B. 504mm
  • C. 405mm
  • D. 493mm

Answer: A


NEW QUESTION # 104
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. 10,800
  • B. 7,038
  • C. 9,600
  • D. 10,600

Answer: D

Explanation:
Explanation
This is because the number of datapoints increases each day by approximately 20% of the total number from the day before. Therefore, to find the number of datapoints on the next day, we can use the formula:

Plugging in the given values, we get:

Since we are dealing with whole numbers, we can round up the result to the nearest integer, which is 10,600.


NEW QUESTION # 105
Given the following customer and order tables:
Which of the following describes the number of rows and columns of data that would be present after performing an INNER JOIN of the tables?

  • A. Seven rows, eight columns
  • B. Five rows, eight columns
  • C. Eight rows, seven columns
  • D. Nine rows, five columns

Answer: A

Explanation:
Explanation
This is because an INNER JOIN is a type of join that combines two tables based on a matching condition and returns only the rows that satisfy the condition. An INNER JOIN can be used to merge data from different tables that have a common column or a key, such as customer ID or order ID. To perform an INNER JOIN of the customer and order tables, we can use the following SQL statement:

This statement will select all the columns (*) from both tables and join them on the customer ID column, which is the common column between them. The result of this statement will be a new table that has seven rows and eight columns, as shown below:

The reason why there are seven rows and eight columns in the result table is because:
There are seven rows because there are six customers and six orders in the original tables, but only five customers have matching orders based on the customer ID column. Therefore, only five rows will have data from both tables, while one row will have data only from the customer table (customer 5), and one row will have no data at all (null values).
There are eight columns because there are four columns in each of the original tables, and all of them are selected and joined in the result table. Therefore, the result table will have four columns from the customer table (customer ID, first name, last name, and email) and four columns from the order table (order ID, order date, product, and quantity).


NEW QUESTION # 106
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

Answer: D


NEW QUESTION # 107
Which of the following is an example of a discrete data type?

  • A. 10.7lbs (4.9kg)
  • B. 8in (20cm)
  • C. 2.5mi (4km)
  • D. 5 kids

Answer: D

Explanation:
Explanation
A discrete data type is a data type that can only take on a finite number of values, such as integers or categories. An example of a discrete data type is the number of kids, as it can only be a whole number. The other options are examples of continuous data types, as they can take on any value within a range. The length in inches or centimeters, the distance in miles or kilometers, and the weight in pounds or kilograms are all continuous data types. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy


NEW QUESTION # 108
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. Aggregation.
  • B. Filtering.
  • C. Normalization.
  • D. Transposition.

Answer: C

Explanation:
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.


NEW QUESTION # 109
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. Sort
  • B. Aggregate
  • C. Logical
  • D. Date

Answer: A


NEW QUESTION # 110
A data analyst must separate the column shown below into multiple columns for each component of the name:

Which of the following data manipulation techniques should the analyst perform?

  • A. Transposing
  • B. Parsing
  • C. Imputing
  • D. Concatenating

Answer: B


NEW QUESTION # 111
A data analyst is developing a dashboard to track and monitor metrics. Which of the following best practices should be taken into during the FIRST pment process?

  • A. Develop a dashboard.
  • B. Deploy to production.
  • C. Copy a dashboard design from the Internet.
  • D. Create a A Aupirarrame:

Answer: D

Explanation:
Explanation
A dashboard is a graphical display that summarizes and presents key performance indicators (KPIs) and metrics for a business or a project. A dashboard should be clear, concise, and easy to understand. To develop a dashboard, one of the best practices is to create a wireframe or a mockup first. A wireframe or a mockup is a low-fidelity sketch or prototype of the dashboard layout and design, which helps to define the scope, requirements, and functionality of the dashboard. Creating a wireframe or a mockup can help to save time and resources, as well as to get feedback from stakeholders and users before deploying the dashboard to production. Therefore, the correct answer is A. References: [Dashboard Design Best Practices: 4 Key Principles | Toptal], [How to Create an Effective Dashboard (with Examples) | Tableau]


NEW QUESTION # 112
When taking the test at home, how much extra time is allowed compared to the in-person test?

  • A. 10 minutes
  • B. 15 minutes
  • C. None.
  • D. 30 minutes

Answer: C


NEW QUESTION # 113
Which of the following is an example of structured data?

  • A. A credit card number
  • B. An email
  • C. Social media correspondence
  • D. A photo

Answer: A

Explanation:
Explanation
A credit card number is an example of structured data, which is a type of data that conforms to a data model, has a well-defined structure, follows a consistent order, and can be easily accessed and used by a person or a computer program. A credit card number consists of 16 digits that are divided into four groups of four digits each, separated by spaces or hyphens. The first six digits indicate the issuer identification number, the next nine digits indicate the account number, and the last digit is a check digit that validates the number. A credit card number can be stored and processed in a structured format, such as a database or a spreadsheet1.


NEW QUESTION # 114
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. Optimize the dashboard.
  • B. Get stakeholder approval.
  • C. Create subscriptions.
  • D. Deploy to production.

Answer: B


NEW QUESTION # 115
A data analyst is designing a dashboard that will provide a story of sales and determine which site is providing the highest sales volume per customer. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:

Which of the following types of charts should be considered?

  • A. Include a scatter chart using sales volume and average sales per customer.
  • B. Include a column chart using the site and sales to average sales per customer.
  • C. Include a line chart using the site and average sales per customer.
  • D. Include a pie chart using the site and sales to average sales per customer.

Answer: A

Explanation:
Explanation
A scatter chart using sales volume and average sales per customer is the best type of chart to include in the dashboard. A scatter chart is a type of chart that displays the relationship between two numerical variables using dots or markers. A scatter chart can show how one variable affects another, how strong the correlation is between them, and how the data points are distributed. In this case, a scatter chart can show the story of sales and determine which site is providing the highest sales volume per customer by plotting the sales volume on the x-axis and the average sales per customer on the y-axis. Each dot on the chart will represent a site, and the analyst can easily compare the sites based on their position on the chart. A site with a high sales volume and a high average sales per customer will be in the upper right quadrant, indicating a high performance. A site with a low sales volume and a low average sales per customer will be in the lower left quadrant, indicating a low performance. A site with a high sales volume and a low average sales per customer will be in the lower right quadrant, indicating a high volume but low value. A site with a low sales volume and a high average sales per customer will be in the upper left quadrant, indicating a low volume but high value. A scatter chart can also show if there is a positive or negative correlation between the two variables, or if there is no correlation at all.
A positive correlation means that as one variable increases, so does the other. A negative correlation means that as one variable increases, the other decreases. No correlation means that there is no relationship between the two variables.
The other types of charts are not as suitable for this purpose. A line chart is a type of chart that displays the change of one or more variables over time using lines. A line chart can show trends, patterns, and fluctuations in the data. However, in this case, there is no time variable involved, so a line chart would not be appropriate.
A pie chart is a type of chart that displays the proportion of each category in a whole using slices of a circle. A pie chart can show how each category contributes to the total and compare the relative sizes of each category.
However, in this case, there are two numerical variables involved, so a pie chart would not be able to show their relationship. A column chart is a type of chart that displays the comparison of one or more variables across categories using vertical bars. A column chart can show how each category differs from each other and rank them by size. However, in this case, a column chart would not be able to show the relationship between sales volume and average sales per customer, as it would only show one variable for each site.


NEW QUESTION # 116
Different people manually type a series of handwritten surveys into an online database. Which of the following issues will MOST likely arise with this data? (Choose two.)

  • A. Data attribute limitations
  • B. Data bias
  • C. Data consistency
  • D. Data accuracy
  • E. Data constraints
  • F. Data manipulation

Answer: D,F


NEW QUESTION # 117
Which of the following is a characteristic of a relational database?

  • A. It utilizes key-value pairs.
  • B. It has undefined fields.
  • C. It is structured in nature.
  • D. It uses minimal memory.

Answer: C

Explanation:
Explanation
It is structured in nature. This is because a relational database is a type of database that organizes data into tables, which consist of rows and columns. A relational database is structured in nature, which means that the data has a predefined schema or format, and follows certain rules and constraints, such as primary keys, foreign keys, or referential integrity. A relational database can be used to store, query, and manipulate data using a structured query language (SQL). The other characteristics are not true for a relational database. Here is why:
It utilizes key-value pairs. This is not true for a relational database, because key-value pairs are a way of storing data that associates each value with a unique key, such as an identifier or a name. Key-value pairs are typically used in non-relational databases, such as NoSQL databases, which do not have tables, rows, or columns, but rather store data in various formats, such as documents, graphs, or columns.
It has undefined fields. This is not true for a relational database, because fields are another name for columns in a table, which define the attributes or properties of each row or record in the table. Fields have defined names, types, and lengths in a relational database, which specify the format and size of the data that can be stored in each field.
It uses minimal memory. This is not true for a relational database, because memory is the amount of space or storage that is used by a database to store and process data. Memory usage depends on various factors, such as the size, complexity, and number of tables and queries in a relational database. A relational database can use a lot of memory if it has many tables with many rows and columns, or if it performs complex or frequent queries on the data.


NEW QUESTION # 118
What is an example of data in transit?

  • A. Data on a network.
  • B. Data on a hard disk.
  • C. Data on a smartphone.
  • D. Data in memory on a computer.

Answer: A

Explanation:
A data network is a system designed to transfer data from one network access point to one other or more network access points via data switching, transmission lines, and system controls. Data networks consist of communication systems such as circuit switches, leased lines, and packet switching networks.


NEW QUESTION # 119
Which of the following should be accomplished NEXT after understanding a business requirement for a data analysis report?

  • A. Build a mock dashboard/presentation layout.
  • B. Perform exploratory data analysis.
  • C. Determine the data necessary for the analysis
  • D. Rephrase the business requirement.

Answer: C

Explanation:
Explanation
The next step after understanding a business requirement for a data analysis report is to determine the data necessary for the analysis. This step involves identifying the data sources, variables, metrics, and dimensions that are relevant and sufficient to answer the business question or problem. This step also involves assessing the availability, quality, and accessibility of the data, and planning how to collect, clean, and prepare the data for analysis. The other options are not the next steps after understanding a business requirement, but rather subsequent steps in the data analysis process. Rephrasing the business requirement is a step that can help clarify and refine the business question or problem before determining the data necessary for the analysis.
Building a mock dashboard/presentation layout is a step that can help design and visualize the report before performing the data analysis. Performing exploratory data analysis is a step that can help explore and summarize the data before drawing conclusions and recommendations from the data. Reference: Data Analysis Process - DataCamp


NEW QUESTION # 120
Ellen is a 17-year old student enrolled in her first year of college. Under Family Educational Rights and Privacy Act FERPA, who has the right to control disclosure of her educational records to third parties?

  • A. Ellen's parents or guardians have this right.
  • B. The school exercises this right on Ellen's behalf.
  • C. In this situation, nobody is eligible to assert rights under FERPA.
  • D. Ellen retains this right herself.

Answer: D


NEW QUESTION # 121
Taylor wants to investigate how manufacturing, marketing, and sales expenditures impact overall profitability for her company.
Which of the following systems is the most appropriate?

  • A. Data mart.
  • B. OLTP.
  • C. Data warehouse.
  • D. OLAP.

Answer: C

Explanation:
Explanation
A Data mart is too narrow, because Taylor needs data from across multiple divisions.
OLAP is a broad term for analytical processing, and OLTP systems are transactional and not ideal for the task.
Since Taylor is working with data across multiple different divisions, she will work with a Data warehouse.


NEW QUESTION # 122
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