A retail company wants to combine customer transaction data from a relational database with real-time inventory updates from a streaming platform. The goal is to build a dashboard that shows current stock levels alongside recent sales. Which data acquisition approach should be used?

Use SQL queries for the database and a stream consumer for the inventory updates, then join in the dashboard

Query the streaming platform using SQL directly

Export the database to a file and upload it to the streaming platform

Use only the streaming platform and ignore the database

A company needs to ingest clickstream events from a mobile app into a cloud data warehouse for near-real-time analytics. The events are produced continuously and must be available within minutes. The team also needs to replay historical events for debugging. Which ingestion approach best meets these requirements?

Stream events to a message broker, then consume into the warehouse in micro-batches

Use a file-based ingestion that runs every hour

Batch export the app's database nightly and load the files into the warehouse

Have the app write events directly to the warehouse's REST API

Which of the following is a key consideration when designing a batch ingestion pipeline?

Handling data that arrives continuously in real-time

Scheduling and processing large volumes of data at once

Using a message broker like Kafka

Minimizing latency to milliseconds

GIAC Machine Learning Engineer

Domain 1Objective 1

Data Acquisition GMLE Practice Questions (Page 1)

Part of the Foundational Data Science and Statistics domain, which makes up ~41% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 180-minute exam (~70–120 total, ~29–49 in this domain), expect 7–12 from this objective — we provide 39 practice questions to prepare you well beyond it. (estimate)

39questions here

8free pages

5concepts

Questions 1–5

1application · medium
A retail company wants to combine customer transaction data from a relational database with real-time inventory updates from a streaming platform. The goal is to build a dashboard that shows current stock levels alongside recent sales. Which data acquisition approach should be used?
Select an answer first
2foundation · easy
A machine learning engineer needs to acquire data that is continuously generated by IoT sensors and must be processed in near real-time. Which data acquisition source is most appropriate for this scenario?
Select an answer first
3application · medium
A company needs to ingest clickstream events from a mobile app into a cloud data warehouse for near-real-time analytics. The events are produced continuously and must be available within minutes. The team also needs to replay historical events for debugging. Which ingestion approach best meets these requirements?
Select an answer first
4foundation · easy
Which of the following is a key consideration when designing a batch ingestion pipeline?
Select an answer first
5foundation · easy
A data acquisition process collects customer addresses from two different systems. In one system, the country field contains 'USA', and in the other it contains 'United States'. Which data quality issue does this represent?
Select an answer first

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Data Acquisition GMLE Practice Questions (Page 1)

Questions 1–5

A retail company wants to combine customer transaction data from a relational database with real-time inventory updates from a streaming platform. The goal is to build a dashboard that shows current stock levels alongside recent sales. Which data acquisition approach should be used?

A machine learning engineer needs to acquire data that is continuously generated by IoT sensors and must be processed in near real-time. Which data acquisition source is most appropriate for this scenario?

Which of the following is a key consideration when designing a batch ingestion pipeline?

A data acquisition process collects customer addresses from two different systems. In one system, the country field contains 'USA', and in the other it contains 'United States'. Which data quality issue does this represent?

Keep studying — Foundational Data Science and Statistics