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CompTIA Data+ Certification Exam Sample Questions (Q235-Q240):

NEW QUESTION # 235
What three technological innovations contribute to modern analytics?
Choose three answers.

A. Computing.
B. Dashboard.
C. Storage.
D. Data.

Answer: A,C,D

NEW QUESTION # 236
A county in Illinois is conducting a survey to determine the mean annual income per household. The county is
427sq mi (2.65q km). Which of the following sampling methods would MOST likely result in a representative sample?

A. A systematic survey that is sent to 100 single-family homes in the county
B. Surveys sent to ten randomly selected homes within 5mi (8km) of the county's office
C. A stratified phone survey of 100 people that is conducted between 2:00 p.m. and 3:00 p.m.
D. Surveys sent to 100 randomly selected homes that are reflective of the population

Answer: D

Explanation:
Surveys sent to 100 randomly selected homes that are reflective of the population. This is because a random sample is a type of sample that is selected by using a random method, such as a lottery or a computer- generated number, which ensures that every element in the population has an equal chance of being selected.
A random sample can result in a representative sample, which means that the sample reflects the characteristics and diversity of the population. By sending surveys to 100 randomly selected homes that are reflective of the population, the analyst can ensure that the sample is representative of the county's households and their income levels. The other sampling methods are not likely to result in a representative sample. Here is why:
A stratified phone survey of 100 people that is conducted between 2:00 p.m. and 3:00 p.m. would result in a biased sample, which means that the sample favors or excludes certain groups or elements in the population.
By conducting the survey only between 2:00 p.m. and 3:00 p.m., the analyst would miss out on people who are not available or reachable at that time, such as those who are working or sleeping. This could affect the representativeness and generalizability of the sample.
A systematic survey that is sent to 100 single-family homes in the county would result in an unrepresentative sample, which means that the sample does not reflect the characteristics and diversity of the population. By sending surveys only to single-family homes, the analyst would ignore other types of households, such as apartments, condos, or mobile homes. This could affect the accuracy and reliability of the sample.
Surveys sent to ten randomly selected homes within 5mi (8km) of the county's office would result in a small sample, which means that the sample size is too low to capture the variability and diversity of the population.
By sending surveys only to ten homes within a limited area, the analyst would miss out on many households that are located in different parts of the county. This could affect the precision and confidence of the sample.

NEW QUESTION # 237
You only have one opportunity to answer each question on the Data+ exam.

A. True.
B. False.

Answer: B

NEW QUESTION # 238
An analyst is building a new dashboard for a user. After an initial conversation with the user. the analyst created a mock-up of the dashboard. Which of the following best explains why the analyst created the mock- up?

A. To receive client approval for the final dashboard design
B. To send to the client after deploying the dashboard to production
C. To identify the dimensions and measures
D. To confirm important details before dashboard development begins

Answer: D

Explanation:
To confirm important details before dashboard development begins.
A dashboard mockup is a prototype of a finished dashboard directly in the product. It is a way to visualize the layout, design, and functionality of the dashboard before it is built with real data and code. A dashboard mockup can help the analyst to confirm important details with the user, such as the business objectives, the key performance indicators, the data sources, the filters, the charts, and the interactivity.By creating a dashboard mockup, the analyst can get immediate feedback and validation from the user,and avoid wasting time and resources on developing a dashboard that does not meet the user's expectations or needs1.

NEW QUESTION # 239
Which of the following data manipulation techniques is an example of a logical function?

A. BOOLEAN
B. AGGREGATE
C. IF
D. WHERE

Answer: C

Explanation:
This is because an IF function is a type of logical function that returns a value based on a condition or a set of conditions. An IF function can be used to manipulate data by applying different actions or calculations depending on whether the condition is true or false. For example, an IF function in Excel that can achieve this is:
=IF (condition, value_if_true, value_if_false)
The other data manipulation techniques are not examples of logical functions. Here is why:
* WHERE is a type of clause that filters data based on a condition or a set of conditions. A WHERE clause can be used to manipulate data by selecting only the rows that satisfy the condition(s). For example, a WHERE clause in SQL that can achieve this is:

* AGGREGATE is a type of function that performs a calculation on a group of values, such as sum, average, count, etc. An AGGREGATE function can be used to manipulate data by summarizing or aggregating the values in a column or a table. For example, an AGGREGATE function in SQL that can achieve this is:

* BOOLEAN is a type of data type that represents two possible values: true or false. A BOOLEAN data type can be used to manipulate data by storing or returning logical values based on a condition or a set of conditions. For example, a BOOLEAN data type in Python that can achieve this is:

NEW QUESTION # 240
......

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CompTIA DA0-001 Dumps Material Formats

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CompTIA Data+ Certification Exam Sample Questions (Q235-Q240):

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Biography

CompTIA DA0-001 Dumps Material Formats

CompTIA DA0-001 Pass4sure Dumps Pdf & DA0-001 Exam Demo

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