GCP Professional Data Engineer Certification Exam ( Updated) Complete Test Bank with Verified Answers & Detailed=Rationales | A+ Grade

GCP Professional Data Engineer = = = =




Certification Exam (2026-2027 Updated) = = = =




Complete Test Bank with Verified Answers & = = = = = = =




Detailed Rationales | A+ Graded = = = = =




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SECTION 1: DATA STORAGE SERVICES (Questions 1-40)
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Question 1: = =




A genomics research institute is developing a platform for analyzing
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data related to genetic diseases. The genomics data is in a specializ
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ed format known as FASTQ, which stores nucleotide sequences and
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quality scores in a text format. Files may be up to 400 GB and are u
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ploaded in batches. Once the files finish uploading, an analysis pipe
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line runs, reads the data in the FASTQ file, and outputs data to a dat
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abase. What storage system is a good option for storing the upload
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ed FASTQ data?
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A) Cloud Bigtable = =




B) Cloud Datastore = =




C) Cloud Storage = =

,D) Cloud Spanner = =




Answer: C) Cloud Storage = = = =




Rationale: The FASTQ files are unstructured since their internal form
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at is not used to organize storage structures. Also, 400 GB is large en
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ough that it is not efficient to store them as objects in a database . Clo
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ud Storage is ideal for storing large, unstructured files that are treat
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ed as atomic units. NoSQL databases like Bigtable and Datastore ar
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e not needed for the given requirements, and Cloud Spanner is a stru
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ctured relational database . = = = =




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Question 2: = =




A team of analysts has collected several CSV datasets with a total si
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ze of 50 GB. They plan to store the datasets in GCP and use Comput
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e Engine instances to run RStudio, an interactive stats application. Da
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ta will be loaded into RStudio using an RStudio data loading tool. W
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hich of the following is the most appropriate GCP storage service fo
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r the datasets?
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A) Cloud Storage = =




B) Cloud Datastore = =




C) MongoDB =

,D) Bigtable =




Answer: A) Cloud Storage = = = =




Rationale: Cloud Storage is the correct choice because the data in th
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e files is treated as an atomic unit of data that is loaded into RStudio .
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Document databases like Cloud Datastore and MongoDB are not re
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quired since there is no need for storing data in semistructured forma
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t with support for fully indexed querying. Also, MongoDB is not a GC
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P service . While you could load CSV data into a Bigtable table, the
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volume of data is not sufficient to warrant using Bigtable .
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Question 3: = =




A team of analysts has collected several terabytes of telemetry dat
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a in CSV datasets. They plan to store the datasets in GCP and query
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and analyze the data using SQL. Which of the following is the most a
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ppropriate GCP storage service for the datasets? = = = = = = =




A) Cloud SQL = =




B) Cloud Spanner = =




C) BigQuery =




D) Bigtable =

, Answer: C) BigQuery = = =




Rationale: BigQuery is a managed analytical database service tha
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t supports SQL and scales to petabyte volumes of data . Cloud SQL
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and Cloud Spanner are used for transaction processing applications
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, not analytics . Bigtable does not support SQL .
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Question 4: = =




A multinational corporation is building a global inventory database.
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The database will support OLTP type transactions at a global scale.
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Which of the following would you consider as possible databases fo
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r the system?
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A) Cloud SQL and Cloud Spanner
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B) Cloud SQL and Cloud Datastore
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C) Cloud Spanner only = = =




D) Cloud Datastore only = = =




Answer: C) Cloud Spanner only
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Rationale: Cloud Spanner is the only globally scalable relational d
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atabase for OLTP applications . Cloud SQL will not meet the scaling r
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equirements, and Cloud Datastore does not support OLTP models . C
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