A financial services firm needs to detect fraudulent credit card transactions in real time. Each transaction must be evaluated within milliseconds of authorization, and the system must handle a high volume of concurrent events. The data pipeline must also allow for downstream analytics on the same event stream. Which ingestion architecture is most appropriate?

A direct database-to-database replication from the transaction system to the analytics system

A nightly batch job that loads transaction logs into a data warehouse

A periodic micro-batch job that runs every 15 minutes

A streaming platform that ingests events and triggers immediate processing

What is a key advantage of batch processing over streaming processing?

It provides results with sub-second latency

It eliminates the need for data transformation

It requires no infrastructure to run

It can efficiently process very large volumes of data in a single run

A logistics company generates GPS location data from its fleet of 10,000 vehicles every 5 seconds. The company needs to maintain a historical archive of all location points for regulatory compliance, but real-time tracking is not required. Which ingestion strategy is most cost-effective and appropriate for this requirement?

Micro-batch ingestion every 30 seconds

Direct write of each GPS point to a relational database as it is generated

Streaming ingestion into a real-time dashboard

Batch ingestion of daily log files into a data lake

Which scenario is best suited for batch processing in data ingestion?

Updating a recommendation engine based on a user's latest click

Monitoring a live stock ticker for immediate trading decisions

Processing a large volume of log files collected over the past 24 hours

Alerting on a sudden spike in server CPU usage

What is the primary purpose of a data pipeline in an ingestion process?

To automate the movement and processing of data from source to destination

To provide real-time analytics dashboards

To replace the need for a data warehouse

To secure data from unauthorized access

CompTIADataX

Domain 4Objective 3

Data Ingestion DY0-001 Practice Questions (Page 2)

Part of the Operations and processes domain, which accounts for 22% of the DY0-001 exam. CompTIA does not publish an official question count, but from its 165-minute exam (~65–110 total, ~14–24 in this domain), expect 2–3 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

4concepts

22%of the exam

Questions 6–10

6application · medium
A financial services firm needs to detect fraudulent credit card transactions in real time. Each transaction must be evaluated within milliseconds of authorization, and the system must handle a high volume of concurrent events. The data pipeline must also allow for downstream analytics on the same event stream. Which ingestion architecture is most appropriate?
Select an answer first
7foundation · easy
What is a key advantage of batch processing over streaming processing?
Select an answer first
8application · medium
A logistics company generates GPS location data from its fleet of 10,000 vehicles every 5 seconds. The company needs to maintain a historical archive of all location points for regulatory compliance, but real-time tracking is not required. Which ingestion strategy is most cost-effective and appropriate for this requirement?
Select an answer first
9foundation · easy
Which scenario is best suited for batch processing in data ingestion?
Select an answer first
10foundation · easy
What is the primary purpose of a data pipeline in an ingestion process?
Select an answer first

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Data Ingestion DY0-001 Practice Questions (Page 2)

Questions 6–10

What is a key advantage of batch processing over streaming processing?

Which scenario is best suited for batch processing in data ingestion?

What is the primary purpose of a data pipeline in an ingestion process?

Keep studying — Operations and processes