GCP Professional Data Engineer Certification Exam
with Complete Questions and Correct Answers
|Already Graded A+|| LATEST UPDATE 2025/26
A developer is planning a mobile application for your company's customers to use to
track information about their accounts. The developer is asking for your advice on
storage technologies. In one case, the developer explains that they want to write
messages each time a significant event occurs, such as the client opening, viewing, or
deleting an account. This data is collected for compliance reasons, and the developer
wants to minimize administrative overhead. What system would you recommend for
storing this data?
A. Cloud SQL using MySQL
B. Cloud SQL using PostgreSQL
C. Cloud Datastore
D. Stackdriver Logging -CORRECTANSWER D. The correct CORRECTANSWER is D.
Stackdriver Logging is the best option because it is a managed service designed for
storing logging data. Neither Option A nor B is as good a fit because the developer
would have to design and maintain a relational data model and user interface to view
and manage log data. Option C, Cloud Datastore, would not require a fixed data model,
but it would still require the developer to create and maintain a user interface to manage
log events.
,You are responsible for developing an ingestion mechanism for a large number of IoT
sensors. The ingestion service should accept data up to 10 minutes late. The service
should also perform some transformations before writing the data to a database. Which
of the managed services would be the best option for managing late arriving data and
performing transformations?
A. Cloud Dataproc
B. Cloud Dataflow
C. Cloud Dataprep
D. Cloud SQL -CORRECTANSWER B. The correct CORRECTANSWER is B. Cloud
Dataflow is a stream and batch processing service that is used for transforming data
and processing streaming data. Option A, Cloud Dataproc, is a managed Hadoop and
Spark service and not as well suited as Cloud Dataflow for the kind of stream
processing specified. Option C, Cloud Dataprep, is an interactive tool for exploring and
preparing data sets for analysis. Option D, Cloud SQL, is a relational database service,
so it may be used to store data, but it is not a service specifically for ingesting and
transforming data before writing to a database.
A team of analysts has collected several CSV datasets with a total size of 50 GB. They
plan to store the datasets in GCP and use Compute Engine instances to run RStudio,
an interactive stats application. Data will be loaded into RStudio using an RStudio data
loading tool. Which of the following is the most appropriate GCP storage service for the
datasets?
,A. Cloud Storage
B. Cloud Datastore
C. MongoDB
D. Bigtable -CORRECTANSWER A. The correct CORRECTANSWER is A, Cloud
Storage, because the data in the files is treated as an atomic unit of data that is loaded
into RStudio. Options B and C are incorrect because those are document databases
and there is no requirement for storing the data in semistructured format with support for
fully indexed querying. Also, MongoDB is not a GCP service. Option D is incorrect
because, although you could load CSV data into a Bigtable table, the volume of data is
not sufficient to warrant using Bigtable.
A team of analysts has collected several terabytes of telemetry data in CSV datasets.
They plan to store the datasets in GCP and query and analyze the data using SQL.
Which of the following is the most appropriate GCP storage service for the datasets?
A. Cloud SQL
B. Cloud Spanner
C. BigQuery
D. Bigtable -CORRECTANSWER C. The correct CORRECTANSWER is C, BigQuery,
which is a managed analytical database service that supports SQL and scales to
petabyte volumes of data. Options A and B are incorrect because both are used for
, transaction processing applications, not analytics. Option D is incorrect because
Bigtable does not support SQL.
You have been hired to consult with a startup that is developing software for self-driving
vehicles. The company's product uses machine learning to predict the trajectory of
persons and vehicles. Currently, the software is being developed using 20 vehicles, all
located in the same city. IoT data is sent from vehicles every 60 seconds to a MySQL
database running on a Compute Engine instance using an n2-standard-8 machine type
with 8 vCPUs and 16 GB of memory. The startup wants to review their architecture and
make any necessary changes to support tens of thousands of self-driving vehicles, all
transmitting IoT data every second. The vehicles will be located across North America
and Europe. Approximately 4 KB of data is sent in each transmission. What changes to
the architecture would you recommend?
A. None. The current architecture is well suited to the use case.
B. Replace Cloud SQL with Cloud Spanner.
C. Replace Cl -CORRECTANSWER C. The correct CORRECTANSWER is C. Bigtable
is the best storage service for IoT data, especially when a large number of devices will
be sending data at short intervals. Option A is incorrect, because Cloud SQL is
designed for transaction processing at a regional level. Option B is incorrect because
Cloud Spanner is designed for transaction processing, and although it scales to global
levels, it is not the best option for IoT data. Option D is incorrect because there is no
need for indexed, semi-structured data.
with Complete Questions and Correct Answers
|Already Graded A+|| LATEST UPDATE 2025/26
A developer is planning a mobile application for your company's customers to use to
track information about their accounts. The developer is asking for your advice on
storage technologies. In one case, the developer explains that they want to write
messages each time a significant event occurs, such as the client opening, viewing, or
deleting an account. This data is collected for compliance reasons, and the developer
wants to minimize administrative overhead. What system would you recommend for
storing this data?
A. Cloud SQL using MySQL
B. Cloud SQL using PostgreSQL
C. Cloud Datastore
D. Stackdriver Logging -CORRECTANSWER D. The correct CORRECTANSWER is D.
Stackdriver Logging is the best option because it is a managed service designed for
storing logging data. Neither Option A nor B is as good a fit because the developer
would have to design and maintain a relational data model and user interface to view
and manage log data. Option C, Cloud Datastore, would not require a fixed data model,
but it would still require the developer to create and maintain a user interface to manage
log events.
,You are responsible for developing an ingestion mechanism for a large number of IoT
sensors. The ingestion service should accept data up to 10 minutes late. The service
should also perform some transformations before writing the data to a database. Which
of the managed services would be the best option for managing late arriving data and
performing transformations?
A. Cloud Dataproc
B. Cloud Dataflow
C. Cloud Dataprep
D. Cloud SQL -CORRECTANSWER B. The correct CORRECTANSWER is B. Cloud
Dataflow is a stream and batch processing service that is used for transforming data
and processing streaming data. Option A, Cloud Dataproc, is a managed Hadoop and
Spark service and not as well suited as Cloud Dataflow for the kind of stream
processing specified. Option C, Cloud Dataprep, is an interactive tool for exploring and
preparing data sets for analysis. Option D, Cloud SQL, is a relational database service,
so it may be used to store data, but it is not a service specifically for ingesting and
transforming data before writing to a database.
A team of analysts has collected several CSV datasets with a total size of 50 GB. They
plan to store the datasets in GCP and use Compute Engine instances to run RStudio,
an interactive stats application. Data will be loaded into RStudio using an RStudio data
loading tool. Which of the following is the most appropriate GCP storage service for the
datasets?
,A. Cloud Storage
B. Cloud Datastore
C. MongoDB
D. Bigtable -CORRECTANSWER A. The correct CORRECTANSWER is A, Cloud
Storage, because the data in the files is treated as an atomic unit of data that is loaded
into RStudio. Options B and C are incorrect because those are document databases
and there is no requirement for storing the data in semistructured format with support for
fully indexed querying. Also, MongoDB is not a GCP service. Option D is incorrect
because, although you could load CSV data into a Bigtable table, the volume of data is
not sufficient to warrant using Bigtable.
A team of analysts has collected several terabytes of telemetry data in CSV datasets.
They plan to store the datasets in GCP and query and analyze the data using SQL.
Which of the following is the most appropriate GCP storage service for the datasets?
A. Cloud SQL
B. Cloud Spanner
C. BigQuery
D. Bigtable -CORRECTANSWER C. The correct CORRECTANSWER is C, BigQuery,
which is a managed analytical database service that supports SQL and scales to
petabyte volumes of data. Options A and B are incorrect because both are used for
, transaction processing applications, not analytics. Option D is incorrect because
Bigtable does not support SQL.
You have been hired to consult with a startup that is developing software for self-driving
vehicles. The company's product uses machine learning to predict the trajectory of
persons and vehicles. Currently, the software is being developed using 20 vehicles, all
located in the same city. IoT data is sent from vehicles every 60 seconds to a MySQL
database running on a Compute Engine instance using an n2-standard-8 machine type
with 8 vCPUs and 16 GB of memory. The startup wants to review their architecture and
make any necessary changes to support tens of thousands of self-driving vehicles, all
transmitting IoT data every second. The vehicles will be located across North America
and Europe. Approximately 4 KB of data is sent in each transmission. What changes to
the architecture would you recommend?
A. None. The current architecture is well suited to the use case.
B. Replace Cloud SQL with Cloud Spanner.
C. Replace Cl -CORRECTANSWER C. The correct CORRECTANSWER is C. Bigtable
is the best storage service for IoT data, especially when a large number of devices will
be sending data at short intervals. Option A is incorrect, because Cloud SQL is
designed for transaction processing at a regional level. Option B is incorrect because
Cloud Spanner is designed for transaction processing, and although it scales to global
levels, it is not the best option for IoT data. Option D is incorrect because there is no
need for indexed, semi-structured data.
