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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. 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 an increase of instance/storage/used_bytes for the source and a rate of change decrease 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 a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination

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

3. You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

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

4. You are designing storage for two relational tables that are part of a 10-TB database on Google Cloud. You want to support transactions that scale horizontally. You also want to optimize data for range queries on nonkey columns. What should you do?

A) Use Cloud Dataflow to transform data to support query patterns.
B) Use Cloud Dataflow to transform data to support query patterns.
C) Add secondary indexes to support query patterns.
D) Use Cloud Spanner for storag
E) Add secondary indexes to support query patterns.
F) Use Cloud Spanner for storag
G) Use Cloud SQL for storag
H) Use Cloud SQL for storag

5. Which of the following is NOT one of the three main types of triggers that Dataflow supports?

A) Trigger based on time
B) Trigger that is a combination of other triggers
C) Trigger based on element size in bytes
D) Trigger based on element count

Solutions: