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:

https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/Data+_DA0-001/page_38_img_2.jpg

Plugging in the values from the original floor plans, we get:

https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/Data+_DA0-001/page_38_img_3.jpg

To find the price of the Rose unit, we can use the following formula:

https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/Data+_DA0-001/page_38_img_4.jpg

Plugging in the values from the Rose unit, we get:

https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/Data+_DA0-001/page_39_img_1.jpg

Therefore, the price of the Rose unit should be $705,200, using the average cost per square foot of

the original floor plans.

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

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.

While this scenario describes a system integration challenge that can be solved with ETL or ELT,

Angela is facing a Record linkage issue.

Correct answer: C. Data Warehouse.

Data warehouse bring together data from multiple systems used by an organization.

A data mart is too narrow, as Alex needs data from across multiple divisions.

OLAP is a broad term of analytical processing, and OLTP systems are transactional and not ideal for

this task.

Duplicate Data.

While invalid, redundant, or missing data are all valid concerns, data about people exists in two of

the six systems. As such, Jhon needs to account for duplicate data issues.

The statement is false. You should not always choose the analytics tool that is most appropriate for

any given situation, even if that means acquiring a new tool. Acquiring a new tool can be costly,

time-consuming, and risky, as it may not be compatible with your existing data sources, systems, or

processes. It may also require additional training, maintenance, and support. Therefore, you should

always consider the trade-offs between the benefits and drawbacks of acquiring a new tool versus

using an existing one. You should also evaluate the feasibility, availability, and reliability of the new

tool beforemaking a decision. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams |

Udemy

:

Discrete data is a type of data that can only take certain values, usually whole numbers or integers.

Discrete data can be counted, but not measured. For example, the number of students in a class, the

number of books in a library, or the number of phone calls that a call center receives in a day are all

examples of discrete data. Discrete data is different from continuous data, which can take any value

within a range, and can be measured with precision. For example, the height of a person, the weight

of a fruit, or the temperature of a room are all examples of continuous data. Therefore, the correct

answer is D. Reference: [Discrete vs Continuous Data: Definition and Examples - Statistics How To],

[Discrete Data - Definition and Examples | Math Goodies]

To compare the students’ scores, we need to standardize them by using the z-score formula, which is:

z = (x - μ) / σ

where x is the raw score, μ is the mean, and σ is the standard deviation. The z-score tells us how

many standard deviations a score is above or below the mean. A higher z-score means a better score

relative to the average.

Using the table, we can calculate the z-scores for each student as follows:

Randy: z = (76 - 70) / 2 = 3 Katie: z = (86 - 80) / 3 = 2 Ralph: z = (80 - 75) / 2 = 2.5 Jean: z = (80 - 90) / 1

= -10

The student with the highest z-score is Randy, with a z-score of 3. This means that Randy scored 3

standard deviations above the mean in math, which is the best performance among the four

students. Therefore, the correct answer is A.

Reference: Comparing with z-scores (video) | Z-scores | Khan Academy, 17 Important Data

Visualization Techniques | HBS Online