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GCP PROFESSIONAL DATA ENGINEER CERTIFICATION EXAM
NEWEST 2025/2026 ACTUAL EXAM WITH COMPLETE QUESTIONS
AND CORRECT DETAILED ANSWERS (100% VERIFIED ANSWERS)
|ALREADY GRADED A+| ||PROFESSOR VERIFIED||
A startup is designing a data processing pipeline for its IoT
platform. Data from sensors will stream into a pipeline running in
GCP. As soon as data arrives, a validation process, written in
Python, is run to verify data integrity. If the data passes the
validation, it is ingested; otherwise, it is discarded. What services
would you use to implement the validation check and ingestion?
A. Cloud Storage and Cloud Pub/Sub
B. Cloud Functions and Cloud Pub/Sub
C. Cloud Functions and BigQuery
D. Cloud Storage and BigQuery - ANSWER-B. The correct
answer is B. IoT sensors can write data to a Cloud Pub/Sub topic.
When a message is written, it can trigger a Cloud Function that
runs the associated code. Cloud Functions can execute the
Python validation check, and if the validation check fails, the
message is removed from the queue. Option A is incorrect; Cloud
Storage is not a for streaming ingestion. Option C is incorrect
because BigQuery is an analytical database that could be used in
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later stages but not during ingest. Answer D is incorrect because
Cloud Storage is not a suitable choice for high-volume streaming
ingestion, and BigQuery is not suitable for storing data during
ingestion.
Your finance department is migrating a third-party application from
an on-premises physical server. The system was written in C, but
only the executable binary is available. After the migration, data
will be extracted from the application database, transformed, and
stored in a BigQuery data warehouse. The application is no
longer actively supported by the original developer, and it must
run on an Ubuntu 14.04 operating system that has been
configured with several required packages. Which compute
platform would you use?
A. Compute Engine
B. Kubernetes Engine
C. App Engine Standard
D. Cloud Functions - ANSWER-A. The answer is A. This scenario
calls for full control over the choice of the operating system, and
the application is moving from a physical server so that it is not
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containerized. Compute Engine can run the application in a VM
configured with Ubuntu 14.04 and the additional packages. Option
B is incorrect because the application is not containerized
(although it may be modified to be containerized). Option C is
incorrect because the application cannot run in one of the
language-specific runtimes of App Engine Standard.
Option D is incorrect because the Cloud Functions product runs
code in response to events
and does not support long-running applications.
A team of developers has been tasked with rewriting the ETL
process that populates an enterprise data warehouse. They plan
to use a microservices architecture. Each microservice will run in
its own Docker container. The amount of data processed during a
run can vary, but the ETL process must always finish within one
hour of starting. You want to minimize the amount of DevOps
tasks the team needs to perform, but you do not want to sacrifice
efficient utilization of compute resources. What GCP compute
service would you recommend?
A. Compute Engine
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B. Kubernetes Engine
C. App Engine Standard
D. Cloud Functions - ANSWER-B. The correct answer is B,
Kubernetes Engine, because the application will be designed
using containerized microservices that should be run in a way that
minimizes DevOps overhead. Option A is incorrect because
Compute Engine would require more DevOps work to manage
your own Kubernetes Cluster or configure managed instance
groups to run different containers needed for each microservice.
Options C and D are incorrect because App Engine Standard and
Cloud Functions do not run containers.
Your consulting company is contracted to help an enterprise
customer negotiate a contract with a SaaS provider. Your client
wants to ensure that they will have access to the SaaS service
and it will be functioning correctly with only minimal downtime.
What metric
would you use when negotiating with the SaaS provider to ensure
that your client's reliability requirements are met?
A. Average CPU utilization
GCP PROFESSIONAL DATA ENGINEER CERTIFICATION EXAM
NEWEST 2025/2026 ACTUAL EXAM WITH COMPLETE QUESTIONS
AND CORRECT DETAILED ANSWERS (100% VERIFIED ANSWERS)
|ALREADY GRADED A+| ||PROFESSOR VERIFIED||
A startup is designing a data processing pipeline for its IoT
platform. Data from sensors will stream into a pipeline running in
GCP. As soon as data arrives, a validation process, written in
Python, is run to verify data integrity. If the data passes the
validation, it is ingested; otherwise, it is discarded. What services
would you use to implement the validation check and ingestion?
A. Cloud Storage and Cloud Pub/Sub
B. Cloud Functions and Cloud Pub/Sub
C. Cloud Functions and BigQuery
D. Cloud Storage and BigQuery - ANSWER-B. The correct
answer is B. IoT sensors can write data to a Cloud Pub/Sub topic.
When a message is written, it can trigger a Cloud Function that
runs the associated code. Cloud Functions can execute the
Python validation check, and if the validation check fails, the
message is removed from the queue. Option A is incorrect; Cloud
Storage is not a for streaming ingestion. Option C is incorrect
because BigQuery is an analytical database that could be used in
,2|Page
later stages but not during ingest. Answer D is incorrect because
Cloud Storage is not a suitable choice for high-volume streaming
ingestion, and BigQuery is not suitable for storing data during
ingestion.
Your finance department is migrating a third-party application from
an on-premises physical server. The system was written in C, but
only the executable binary is available. After the migration, data
will be extracted from the application database, transformed, and
stored in a BigQuery data warehouse. The application is no
longer actively supported by the original developer, and it must
run on an Ubuntu 14.04 operating system that has been
configured with several required packages. Which compute
platform would you use?
A. Compute Engine
B. Kubernetes Engine
C. App Engine Standard
D. Cloud Functions - ANSWER-A. The answer is A. This scenario
calls for full control over the choice of the operating system, and
the application is moving from a physical server so that it is not
,3|Page
containerized. Compute Engine can run the application in a VM
configured with Ubuntu 14.04 and the additional packages. Option
B is incorrect because the application is not containerized
(although it may be modified to be containerized). Option C is
incorrect because the application cannot run in one of the
language-specific runtimes of App Engine Standard.
Option D is incorrect because the Cloud Functions product runs
code in response to events
and does not support long-running applications.
A team of developers has been tasked with rewriting the ETL
process that populates an enterprise data warehouse. They plan
to use a microservices architecture. Each microservice will run in
its own Docker container. The amount of data processed during a
run can vary, but the ETL process must always finish within one
hour of starting. You want to minimize the amount of DevOps
tasks the team needs to perform, but you do not want to sacrifice
efficient utilization of compute resources. What GCP compute
service would you recommend?
A. Compute Engine
, 4|Page
B. Kubernetes Engine
C. App Engine Standard
D. Cloud Functions - ANSWER-B. The correct answer is B,
Kubernetes Engine, because the application will be designed
using containerized microservices that should be run in a way that
minimizes DevOps overhead. Option A is incorrect because
Compute Engine would require more DevOps work to manage
your own Kubernetes Cluster or configure managed instance
groups to run different containers needed for each microservice.
Options C and D are incorrect because App Engine Standard and
Cloud Functions do not run containers.
Your consulting company is contracted to help an enterprise
customer negotiate a contract with a SaaS provider. Your client
wants to ensure that they will have access to the SaaS service
and it will be functioning correctly with only minimal downtime.
What metric
would you use when negotiating with the SaaS provider to ensure
that your client's reliability requirements are met?
A. Average CPU utilization
