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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and operationalizing data processing systems | 30% | - Data pipeline implementation
|
| Topic 2: Designing data processing systems | 20% | - Storage and data modeling
|
| Topic 3: Operationalizing data and ML pipelines | 30% | - Pipeline automation and orchestration
|
| Topic 4: Maintaining and optimizing data and ML solutions | 20% | - Machine learning integration
|
Google Data Engineer Sample Questions:
Question 1
Flowlogistic's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?
A. Cloud Pub/Sub, Cloud SQL, and Cloud Storage
B. Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
C. Cloud Pub/Sub, Cloud Dataflow, and Local SSD
D. Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
Question 2
You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?
A. Use the WHERE_PARTITIONTIME pseudo column
B. Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
C. Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
D. Use the TABLE_DATE_RANGE function
Question 3
The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster .
A. master node
B. application node
C. worker node
D. conditional node
Question 4
Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?
A. Create a view on the table to present to the virtualization tool.
B. Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
C. Create an additional table with only the necessary columns.
D. Export the data into a Google Sheet for virtualization.
Question 5
What is the general recommendation when designing your row keys for a Cloud Bigtable schema?
A. Keep the row keep as an 8 bit integer
B. Keep your row key as long as the field permits
C. Include multiple time series values within the row key
D. Keep your row key reasonably short
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: D |







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