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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?

A) Remove the features that have null values for more than 50% of the training records.
B) Instead of feeding in each feature individually, average their values in batches of 3.
C) Combine highly co-dependent features into one representative feature.
D) Eliminate features that are highly correlated to the output labels.

2. Which of these sources can you not load data into BigQuery from?

A) Google Cloud SQL
B) File upload
C) Google Cloud Storage
D) Google Drive

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

4. Flowlogistic's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?

A) Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
B) Cloud Pub/Sub, Cloud Dataflow, and Local SSD
C) Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
D) Cloud Pub/Sub, Cloud SQL, and Cloud Storage

5. You work for a global shipping company. You want to train a model on 40 TB of data to predict which ships in each geographic region are likely to cause delivery delays on any given day. The model will be based on multiple attributes collected from multiple sources. Telemetry data, including location in GeoJSON format, will be pulled from each ship and loaded every hour. You want to have a dashboard that shows how many and which ships are likely to cause delays within a region. You want to use a storage solution that has native functionality for prediction and geospatial processing. Which storage solution should you use?

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

Solutions: