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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

A) Use Cloud Deployment Manager to automate access provision.
B) Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
C) For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
D) Introduce resource hierarchy to leverage access control policy inheritance.
E) Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
F) Create distinct groups for various teams, and specify groups in Cloud IAM policies.

2. You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?

A) Cloud AutoML Natural Language
B) Cloud Speech-to-Text API
C) Dialogflow Enterprise Edition
D) Cloud Natural Language API

3. You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?

A) BigQuery
B) Cloud SQL
C) Cloud Datastore
D) Cloud Bigtable

4. An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?

A) BigQuery
B) Cloud SQL
C) Cloud Datastore
D) Cloud BigTable

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 service account and grant dataset access to that accoun
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) Create a dummy user and grant dataset access to that use
D) Create groups for your users and give those groups access to the dataset
E) Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request
F) Use the service account's private key to access the dataset

Solutions: