Valid DA0-001 Exam Topics | DA0-001 Reliable Test Answers

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What are the special features of the CompTIA DA0-001 Exam

The CompTIA Data+ certification is an important one, because it's the first of its kind. It was developed to ensure that IT professionals had the necessary skills to work with data and perform advanced analysis.

The CompTIA Data+ certification is also unique in that it can be applied across several different industries. In fact, the curriculum for this exam focuses on three different areas: data analysis, communication and technology. This means that you'll need a strong understanding of all three areas to qualify for this exam. CompTIA DA0-001 exam dumps are the best way to make you perp fast.

The CompTIA Data+ certification is designed for those who have already gained experience working with data or those who want to learn more about it. The test consists of a series of questions designed to measure your knowledge about various aspects of data analysis.

The DA0-001 exam consists of 90 questions, and candidates have 90 minutes to complete the exam. DA0-001 exam is divided into five domains: Data Concepts, Relational Databases, Cloud Computing, Data Management and Tools, and Data Visualization. Candidates are tested on their knowledge of databases, data warehousing, data governance, data analysis, and data visualization. DA0-001 Exam requires a thorough understanding of the most up-to-date data management technologies and techniques.

What are the steps to follow for the registration for the CompTIA DA0-001 Exam

Go to the official website of CompTIA Data+ and click on the “Register” button.
Fill in all the required fields in the registration form and click on “Submit”.
A confirmation email will be sent to you, which contains a link to activate your account and a link to print your exam voucher (you can also opt for an alternative method of delivery).
Go through your exam voucher and note down all the details mentioned on it, including: Exam ID, Exam Number, Date, Time & Location of test, Venue Phone Number (if applicable).
Take a printout of this voucher and carry it with you when appearing for your exam at the specified venue on that particular day/time window allotted by CompTIA to test centers worldwide

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CompTIA Data+ Certification Exam Sample Questions (Q115-Q120):

NEW QUESTION # 115
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: 9 rows; LEFT: 6 rows
C. INNER: 9 rows; LEFT: 15 rows
D. INNER: 6 rows; LEFT: 9 rows

Answer: C

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.

NEW QUESTION # 116
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. 10,600
B. 7,038
C. 10,800
D. 9,600

Answer: B

NEW QUESTION # 117
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. Date
B. Sort
C. Logical
D. Aggregate

Answer: B

NEW QUESTION # 118
Which of the following data cleansing issues will be fixed when a DISTINCT function is applied?

A. Invalid data
B. Missing data
C. Duplicate data
D. Redundant data

Answer: C

Explanation:
Explanation
This is because duplicate data refers to data that is repeated or copied in a data set, which can affect the quality and validity of the analysis. A DISTINCT function is a type of function that removes duplicate values from a column or a table, leaving only unique values. For example, a DISTINCT function in SQL that can achieve this is:

The other data cleansing issues will not be fixed by applying a DISTINCT function. Here is why:
Missing data refers to data that is absent or incomplete in a data set, which can affect the accuracy and reliability of the analysis. A DISTINCT function does not help with missing data, because it does not fill in or impute the missing values.
Redundant data refers to data that is unnecessary or irrelevant for the analysis, which can affect the efficiency and performance of the analysis. A DISTINCT function does not help with redundant data, because it does not remove or filter out the redundant values.
Invalid data refers to data that is incorrect or inaccurate in a data set, which can affect the validity and reliability of the analysis. A DISTINCT function does not help with invalid data, because it does not validate or correct the invalid values.

NEW QUESTION # 119
A data analyst is creating a report that will provide information about various regions, products, and time periods. Which of the following formats would be the most efficient way to deliver this report?

A. A dashboard with filters at the top that the user can toggle
B. A daily email with snapshots of regional summaries
C. A workbook with multiple tabs for each region
D. A static report with a different page for every filtered view

Answer: A

Explanation:
The best format to deliver this report is D. A dashboard with filters at the top that the user can toggle.
A dashboard is a visual display of the most important information needed to achieve one or more objectives, consolidated and arranged on a single screen so the information can be monitored at a glance1 A dashboard with filters at the top that the user can toggle would allow the user to easily and quickly access the information they need about various regions, products, and time periods, without having to navigate through multiple tabs, pages, or emails. A dashboard with filters would also enable the user to compare and contrast different views of the data and see how they change over time. A dashboard with filters would also be more interactive and engaging than a static or email report2 A workbook with multiple tabs for each region would not be an efficient way to deliver this report, because it would require the user to switch between different tabs to see the information they need. This would make it harder to compare and contrast different regions, products, and time periods, and also increase the risk of errors or confusion. A workbook with multiple tabs would also be less visually appealing and more cluttered than a dashboard3 A daily email with snapshots of regional summaries would not be an efficient way to deliver this report, because it would limit the user's ability to explore the data in depth and customize their view. A daily email would also be dependent on the frequency and timing of the email delivery, which might not match the user's needs or preferences. A daily email would also be more likely to be ignored or deleted than a dashboard that is always accessible.
A static report with a different page for every filtered view would not be an efficient way to deliver this report, because it would create a very long and cumbersome report that would be difficult to read and understand. A static report would also not allow the user to change or update the filters as they wish, or see how the data changes over time. A static report would also be less interactive and engaging than a dashboard.

NEW QUESTION # 120
......

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VALID DA0-001 EXAM TOPICS | DA0-001 RELIABLE TEST ANSWERS

Valid DA0-001 Exam Topics | DA0-001 Reliable Test Answers