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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Execute to Google Cloud Storage; execute to Google Cloud Logging
B) Write to Google Cloud Storage; read to Google Cloud Logging
C) Read and write to Google Cloud Storage; write to Google Cloud Logging
D) Execute to Google Cloud Storage; write to Google Cloud Logging

2. What are all of the BigQuery operations that Google charges for?

A) Storage, queries, and loading data from a file
B) Storage, queries, and exporting data
C) Queries and streaming inserts
D) Storage, queries, and streaming inserts

3. You operate an IoT pipeline built around Apache Kafka that normally receives around 5000 messages per second. You want to use Google Cloud Platform to create an alert as soon as the moving average over 1 hour drops below 4000 messages per second. What should you do?

A) Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
B) Set a sliding time window of 1 hour every 5 minute
C) Consume the stream of data in Cloud Dataflow using Kafka I
D) Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to Cloud Bigtabl
E) Consume the stream of data in Cloud Dataflow using Kafka I
F) Use Kafka Connect to link your Kafka message queue to Cloud Pub/Su
G) Set a fixed time window of 1 hour.Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
H) Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to BigQuer
I) If that number falls below 4000, send an alert.
J) Use Kafka Connect to link your Kafka message queue to Cloud Pub/Su
K) Use Cloud Scheduler to run a script every five minutes that counts the number of rows created in BigQuery in the last hour
L) If that number falls below 4000, send an alert.
M) Use Cloud Scheduler to run a script every hour that counts the number of rows created in Cloud Bigtable in the last hour

4. MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?

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

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

Solutions: