Google GCP-DE : Data Engineer

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

A) Build and train a text classification model using TensorFlo
B) Deploy the model using Cloud Machine Learning Engin
C) Call the Cloud Natural Language API from your applicatio
D) Process the generated Entity Analysis as labels.
E) Build and train a text classification model using TensorFlo
F) Deploy the model using a KubernetesEngine cluste
G) Call the Cloud Natural Language API from your applicatio
H) Process the generated Sentiment Analysis as labels.
I) Call the model from your application and process the results as labels.
J) Call the model from your application and process the results as labels.

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

3. Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

A) Create a view on the table to present to the virtualization tool.
B) Create an additional table with only the necessary columns.
C) Export the data into a Google Sheet for virtualization.
D) Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.

4. 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) Execute to Google Cloud Storage; write to Google Cloud Logging
C) Read and write to Google Cloud Storage; write to Google Cloud Logging
D) Write to Google Cloud Storage; read to Google Cloud Logging

5. 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 Storage
B) BigQuery and Cloud Bigtable
C) Cloud Bigtable and Cloud SQL
D) Cloud Datastore and Cloud Bigtable

Solutions: