Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?

• A.Connect Cloud Dataprep to your on-premises systems. Use Cloud Dataprep to explore and clean your data.
• B.Upload your files into Cloud Storage. Use Cloud Dataprep to explore and clean your data.
• C.Connect Cloud Datalab to your on-premises systems. Use Cloud Datalab to explore and clean your data.
• D.Upload your files into Cloud Storage. Use Cloud Datalab to explore and clean your data.

Comment: *

Name: *

Email: *

Verification: *

Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month.

• A.Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.
• B.In the BigQuery interface, execute a query on the JOBS table to get the required information.
• C.Use 'bq show' to list all jobs. Per job, use 'bq Is' to list job information and get the required information.
• D.Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the required information.

Comment: *

Name: *

Email: *

Verification: *

The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers

• A.Port the application code to run on Google App Engine.
• B.Integrate Cloud Dataflow into the application to capture real-time metrics.
• C.Instrument the application with a monitoring tool like Stackdriver Debugger.
• D.Select an automation framework to reliably provision the cloud infrastructure.
• E.Deploy a continuous integration tool with automated testing in a staging environment.
• F.Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.

Comment: *

Name: *

Email: *

Verification: *

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?

• A.Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.
• B.Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.
• C.Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.
• D.Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.

Comment: *

Name: *

Email: *

Verification: *

For this question, refer to the TerramEarth case study.
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the development team to focus their failure. You want to allow analysts to centrally query the vehicle dat a. Which architecture should you recommend?
A)

B)

C)

D)

• A.Option A
• B.Option B
• C.Option C
• D.Option D

Correct Answer: A

https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing-connected-car-data
https://cloud.google.com/solutions/iot/
The push endpoint can be a load balancer.
A container cluster can be used.
Cloud Pub/Sub for Stream Analytics

References: https://cloud.google.com/pubsub/
https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing-connected-car-data
https://cloud.google.com/solutions/iot/

Comment: *

Name: *

Email: *

Verification: *