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A data analyst has been asked to create a sales report that calculates the rolling 12-month average for sales. If the report will be published on November 1, 2020, which of the following months shouts the report cover?

A.
October 1, 2019 to October 31, 2020
A.
October 1, 2019 to October 31, 2020
Answers
B.
October 31, 2020 to November 1, 2021
B.
October 31, 2020 to November 1, 2021
Answers
C.
November 1, 2019 to October 31, 2020
C.
November 1, 2019 to October 31, 2020
Answers
D.
October 31, 2019 to October 31, 2020
D.
October 31, 2019 to October 31, 2020
Answers
Suggested answer: A

Explanation:

The report should cover the months from October 1, 2019 to October 31, 2020. A rolling 12-month average is a type of moving average that calculates the average of the last 12 months of data for each month. It is useful for smoothing out seasonal fluctuations and identifying long-term trends in the data. To calculate the rolling 12-month average for sales for November 1, 2020, the analyst needs to use the sales data from the previous 12 months, starting from November 1, 2019 and ending on October 31, 2020. The other options are either too short or too long to cover the required period.

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 ñ

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
A.
INNER: 6 rows; LEFT: 9 rows
Answers
B.
INNER: 9 rows; LEFT: 6 rows
B.
INNER: 9 rows; LEFT: 6 rows
Answers
C.
INNER: 9 rows; LEFT: 15 rows
C.
INNER: 9 rows; LEFT: 15 rows
Answers
D.
INNER: 15 rows; LEFT: 9 rows
D.
INNER: 15 rows; LEFT: 9 rows
Answers
Suggested 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.

Reference: SQL Joins - W3Schools

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.
A.
Use scheduled report delivery.
Answers
B.
Implement subscription access delivery.
B.
Implement subscription access delivery.
Answers
C.
Print out a copy.
C.
Print out a copy.
Answers
D.
Upload the report to the server.
D.
Upload the report to the server.
Answers
Suggested answer: A

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

Which of the following is an example of a discrete variable?

A.
The temperature of a hot tub
A.
The temperature of a hot tub
Answers
B.
The height of a horse
B.
The height of a horse
Answers
C.
The time to complete a task
C.
The time to complete a task
Answers
D.
The number of people in an office
D.
The number of people in an office
Answers
Suggested answer: D

Explanation:

A discrete variable is a variable that can only take on a finite number of values, such as integers or categories. The number of people in an office is an example of a discrete variable, as it can only be a whole number. The temperature of a hot tub, the height of a horse, and the time to complete a task are examples of continuous variables, as they can take on any value within a range.

Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy

Which of the following data types would a telephone number formatted as XXX-XXX-XXXX be considered?

A.
Numeric
A.
Numeric
Answers
B.
Date
B.
Date
Answers
C.
Float
C.
Float
Answers
D.
Text
D.
Text
Answers
Suggested answer: D

Explanation:

A telephone number formatted as XXX-XXX-XXXX would be considered a text data type, as it is composed of alphanumeric characters and symbols. A numeric data type is composed of only numbers, such as integers or decimals. A date data type is composed of values that represent dates or times, such as YYYY-MM-DD or HH:MM:SS. A float data type is composed of numbers with fractional parts, such as 3.14 or 0.5. Reference: Guide to CompTIA Data+ and Practice Questions -Pass Your Cert

The director of operations at a power company needs data to help identify where company resources should be allocated in order to monitor activity for outages and restoration of power in the entire state. Specifically, the director wants to see the following:

* County outages

* Status

* Overall trend of outages

INSTRUCTIONS:

Please, select each visualization to fit the appropriate space on the dashboard and choose an appropriate color scheme. Once you have selected all visualizations, please, select the appropriate titles and labels, if applicable. Titles and labels may be used more than once.

If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.

A.
Power outages
A.
Power outages
Answers
Suggested answer: A

Explanation:

This is a simulation question that requires you to create a dashboard with visualizations that meet the director's needs. Here are the steps to complete the task:

Drag and drop the visualization that shows the county outages on the top left space of the dashboard. This visualization is a map of the state with different colors indicating the number of outages in each county. You can choose any color scheme that suits your preference, but make sure that the colors are consistent and clear. For example, you can use a gradient of red to show the counties with more outages and green to show the counties with less outages.

Drag and drop the visualization that shows the status of the outages on the top right space of the dashboard. This visualization is a pie chart that shows the percentage of outages that are active, restored, or pending. You can choose any color scheme that suits your preference, but make sure that the colors are distinct and easy to identify. For example, you can use red for active, green for restored, and yellow for pending.

Drag and drop the visualization that shows the overall trend of outages on the bottom space of the dashboard. This visualization is a line graph that shows the number of outages over time. You can choose any color scheme that suits your preference, but make sure that the color is visible and contrasted with the background. For example, you can use blue for the line and white for the background.

Select appropriate titles and labels for each visualization. Titles and labels may be used more than once. For example, you can use "County Outages" as the title for the map, "Status" as the title for the pie chart, and "Trend" as the title for the line graph. You can also use "County", "Number of Outages", "Active", "Restored", "Pending", "Time", and "Number of Outages" as labels for the axes and legends of the visualizations.

Q3 2020 has just ended, and now a data analyst needs to create an ad-hoc sales report that demonstrates how well the Q3 2020 promotion went versus last year's Q3 promotion.

Which of the following date parameters should the analyst use?

A.
2019 vs. YTD 2020
A.
2019 vs. YTD 2020
Answers
B.
Q3 2019 vs. Q3 2020
B.
Q3 2019 vs. Q3 2020
Answers
C.
YTD 2019 vs. YTD 2020
C.
YTD 2019 vs. YTD 2020
Answers
D.
Q4 2019 vs. Q3 2020
D.
Q4 2019 vs. Q3 2020
Answers
Suggested answer: B

Explanation:

The date parameters that the analyst should use are Q3 2019 vs. Q3 2020, as this will allow the analyst to compare the sales performance of the Q3 2020 promotion with the same period of last year. This will help to eliminate any seasonal or cyclical effects that might affect the sales data. The other options are not relevant for this purpose, as they either compare different quarters or different years. Reference: CertMaster Practice for Data+ Exam Prep - CompTIA

A data analyst has been asked to create an ad-hoc sales report for the Chief Executive Officer (CEO).

Which of the following should be included in the report?

A.
The sales representatives' home addresses.
A.
The sales representatives' home addresses.
Answers
B.
Line-item SKU numbers.
B.
Line-item SKU numbers.
Answers
C.
YTD total sales.
C.
YTD total sales.
Answers
D.
The customers' first and last names.
D.
The customers' first and last names.
Answers
Suggested answer: C

Explanation:

The report for the CEO should include YTD total sales, as this will provide a high-level overview of the sales performance of the company and show how it is meeting its annual goals. The other options are not appropriate for the CEO, as they are either too detailed or irrelevant for the report. The sales representatives' home addresses, line-item SKU numbers, and customers' first and last names are not related to the sales performance and might compromise the privacy and security of the data.

Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy

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 encryption.
A.
Data encryption.
Answers
B.
Data transmission.
B.
Data transmission.
Answers
C.
Data protection.
C.
Data protection.
Answers
D.
Data masking.
D.
Data masking.
Answers
Suggested answer: A

Explanation:

Data encryption 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. Data encryption is a process of transforming data using an algorithm or a cipher to make it unreadable to anyone except those who have the key or the password to decrypt it.

Data encryption is a common method of protecting data from unauthorized access, modification, or theft. Reference: Guide to CompTIA Data+ and Practice Questions - Pass Your Cert

Which of the following is an example of a discrete data type?

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

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

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