Last Updated: Jul 23, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Preparing data for analysis and machine learning | 13% | - Enabling data analysis
|
| Designing data processing systems | 24% | - Planning data solutions
|
| Storing and managing data | 20% | - Implementing storage solutions
|
| Ingesting and processing data | 25% | - Building data pipelines
|
| Maintaining and automating data workloads | 18% | - Automation and optimization
|
1. You work for a global shipping company. You want to train a model on 40 TB of data to predict which ships in each geographic region are likely to cause delivery delays on any given day. The model will be based on multiple attributes collected from multiple sources. Telemetry data, including location in GeoJSON format, will be pulled from each ship and loaded every hour. You want to have a dashboard that shows how many and which ships are likely to cause delays within a region. You want to use a storage solution that has native functionality for prediction and geospatial processing. Which storage solution should you use?
A) BigQuery
B) Cloud SQL for PostgreSQL
C) Cloud Datastore
D) Cloud Bigtable
2. Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?
A) Increase your network bandwidth from your datacenter to GCP.
B) Increase the CPU size on your server.
C) Increase the size of the Google Persistent Disk on your server.
D) Increase your network bandwidth from Compute Engine to Cloud Storage.
3. You are implementing several batch jobs that must be executed on a schedule. These jobs have many interdependent steps that must be executed in a specific order. Portions of the jobs involve executing shell scripts, running Hadoop jobs, and running queries in BigQuery. The jobs are expected to run for many minutes up to several hours. If the steps fail, they must be retried a fixed number of times. Which service should you use to manage the execution of these jobs?
A) Cloud Composer
B) Cloud Scheduler
C) Cloud Dataflow
D) Cloud Functions
4. You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?
A) Cloud SQL
B) Cloud Spanner
C) Cloud Datastore
D) Cloud Bigtable
5. Which of these is not a supported method of putting data into a partitioned table?
A) Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".
B) If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.
C) Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".
D) Create a partitioned table and stream new records to it every day.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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