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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Designing data processing systems | 24% | - Planning data solutions
|
| Storing and managing data | 20% | - Implementing storage solutions
|
| Ingesting and processing data | 25% | - Transforming data
|
| Maintaining and automating data workloads | 18% | - Automation and optimization
|
| Preparing data for analysis and machine learning | 13% | - Preparing data for ML
|
Google Data Engineer Sample Questions:
Which is not a valid reason for poor Cloud Bigtable performance?
- A. The table's schema is not designed correctly.
- B. There are issues with the network connection.
- C. The workload isn't appropriate for Cloud Bigtable.
- D. The Cloud Bigtable cluster has too many nodes.
Correct Answer: D 🗳️
Explanation: Only visible for DumpsMaterials members. You can sign-up / login (it's free).
Which of these is not a supported method of putting data into a partitioned table?
- A. 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.
- B. 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".
- 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.
Correct Answer: C 🗳️
Explanation: Only visible for DumpsMaterials members. You can sign-up / login (it's free).
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 SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
- B. Use the TABLE_DATE_RANGE function
- C. Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
- D. Use the WHERE_PARTITIONTIME pseudo column
Correct Answer: B 🗳️
Explanation: Only visible for DumpsMaterials members. You can sign-up / login (it's free).
You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat a. Which Stackdriver alerts should you create?
- A. An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination
- B. An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination
- C. An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination
- D. An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination
Correct Answer: D 🗳️
You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?
- A. Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
- B. Deploy the Cloud SQL Proxy on the Cloud Dataproc master
- C. Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
- D. Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
Correct Answer: D 🗳️
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