An online retailer wants to present its monthly sales performance to investors. The report should highlight trends and support future investment decisions. Which reporting method is most appropriate?

A table listing every individual transaction from the past year.

A line chart showing monthly revenue over the past year.

A pie chart showing the percentage of revenue from each product category.

A list of the top 10 customers by total spending.

A manufacturing company has data on machine downtime, maintenance schedules, and production output. They want to reduce unplanned downtime. Which decision is most directly supported by this data?

Stop collecting maintenance data to save time.

Increase the speed of all machines to maximize output.

Schedule preventive maintenance during periods of low production demand.

Hire more machine operators without analyzing the data.

A software company has data on feature usage and customer support tickets. They want to improve customer satisfaction and generate more revenue. The data shows that a new feature is rarely used but generates many support tickets. What should they do?

Promote the feature more to increase usage.

Ignore the data and keep the feature as is.

Analyze why the feature is rarely used and causing tickets, then decide whether to improve or remove it.

Remove the feature immediately to reduce support tickets.

A bank has transaction data and wants to monetize it. They are considering selling anonymized spending trends to retailers or using the data to offer personalized financial advice to customers. The bank must comply with privacy regulations. Which option is more sustainable?

Use the data to offer personalized financial advice, which can increase customer loyalty and revenue.

Sell anonymized spending trends to retailers.

Do not use the data at all to avoid any risk.

Sell raw transaction data to data brokers.

CompTIAIT Fundamentals+ (ITF+)

Domain 5Objective 1

Value of Data: Data-Driven Decisions, Reporting, and Monetization. IT-FUNDAMENTALS-ITF-CERTIFICATION Practice Questions (Page 2)

Part of the Data and database fundamentals domain, which accounts for 13% of the IT-FUNDAMENTALS-ITF-CERTIFICATION exam.

24questions here

5free pages

3concepts

13%of the exam

Questions 6–10

6application · medium
An online retailer wants to present its monthly sales performance to investors. The report should highlight trends and support future investment decisions. Which reporting method is most appropriate?
Select an answer first
7application · medium
A manufacturing company has data on machine downtime, maintenance schedules, and production output. They want to reduce unplanned downtime. Which decision is most directly supported by this data?
Select an answer first
8foundation · easy
A fitness app company aggregates anonymized user workout data and sells the aggregated trends to health researchers. This is an example of:
Select an answer first
9expert · medium
A software company has data on feature usage and customer support tickets. They want to improve customer satisfaction and generate more revenue. The data shows that a new feature is rarely used but generates many support tickets. What should they do?
Select an answer first
10expert · medium
A bank has transaction data and wants to monetize it. They are considering selling anonymized spending trends to retailers or using the data to offer personalized financial advice to customers. The bank must comply with privacy regulations. Which option is more sustainable?
Select an answer first

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