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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Storing and managing data | 20% | - Implementing storage solutions
|
| Designing data processing systems | 24% | - Designing data pipelines
|
| Ingesting and processing data | 25% | - Building data pipelines
|
| Maintaining and automating data workloads | 18% | - Operationalizing workloads
|
| Preparing data for analysis and machine learning | 13% | - Enabling data analysis
|
Google Data Engineer Sample Questions:
1. For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?
A) Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
B) Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
C) Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
D) Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
2. You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?
A) Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
B) Load the data every 30 minutes into a new partitioned table in BigQuery.
C) Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
D) Store the data in Google Cloud Datastor
E) Store the data in a file in a regional Google Cloud Storage bucke
F) Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
3. 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 subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination
D) 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
4. Which of the following is NOT true about Dataflow pipelines?
A) Dataflow pipelines can be programmed in Java
B) Dataflow pipelines are tied to Dataflow, and cannot be run on any other runner
C) Dataflow pipelines use a unified programming model, so can work both with streaming and batch data sources
D) Dataflow pipelines can consume data from other Google Cloud services
5. You are integrating one of your internal IT applications and Google BigQuery, so users can query BigQuery from the application's interface. You do not want individual users to authenticate to BigQuery and you do not want to give them access to the dataset. You need to securely access BigQuery from your IT application.
What should you do?
A) Create a dummy user and grant dataset access to that use
B) Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset
C) Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request
D) Use the service account's private key to access the dataset
E) Create a service account and grant dataset access to that accoun
F) Create groups for your users and give those groups access to the dataset
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: E |
