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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a proxy.

A) SOCKS
B) VPN
C) HTTPS
D) HTTP

2. You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

A) Build and train a text classification model using TensorFlo
B) Deploy the model using Cloud Machine Learning Engin
C) Call the Cloud Natural Language API from your applicatio
D) Process the generated Entity Analysis as labels.
E) Build and train a text classification model using TensorFlo
F) Call the model from your application and process the results as labels.
G) Deploy the model using a KubernetesEngine cluste
H) Process the generated Sentiment Analysis as labels.
I) Call the Cloud Natural Language API from your applicatio
J) Call the model from your application and process the results as labels.

3. You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat a. Which two actions should you take? (Choose two.)

A) Modify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable
B) Configure your Cloud Dataflow pipeline to use local execution
C) Modify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable
D) Increase the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions
E) Increase the number of nodes in the Cloud Bigtable cluster

4. 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 the CPU size on your server.
B) Increase your network bandwidth from Compute Engine to Cloud Storage.
C) Increase the size of the Google Persistent Disk on your server.
D) Increase your network bandwidth from your datacenter to GCP.

5. You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?

A) Use Cloud Vision AutoML with the existing dataset.
B) Use Cloud Vision AutoML, but reduce your dataset twice.
C) Train your own image recognition model leveraging transfer learning techniques.
D) Use Cloud Vision API by providing custom labels as recognition hints.

Solutions: