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Google GCP-DE Exam Syllabus Topics:

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 the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
B) Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
C) Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
D) Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.

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 the CPU size on your server.
B) Increase your network bandwidth from your datacenter to GCP.
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 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 groups for your users and give those groups access to the dataset
B) Use the service account's private key to access the dataset
C) Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset
D) Create a service account and grant dataset access to that accoun
E) Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request
F) Create a dummy user and grant dataset access to that use

4. You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?

A) HiveQL using Hive
B) Python using MapReduce
C) Java using MapReduce
D) PigLatin using Pig

5. Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?

A) Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.
B) Use feature engineering to add features for eyes, noses, and mouths to the input data.
C) Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.
D) Use K-means Clustering to detect faces in the pixels.

Solutions: