MultipleChoice
For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction
accuracy from their ML prediction models. They want you to use Google's AI Platform so HRL can understand
and interpret the predictions. What should you do?
OptionsMultipleChoice
The database administration team has asked you to help them improve the performance of their new database server running on Google Compute Engine. The database is for importing and normalizing their performance statistics and is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with 80 GB of SSD persistent disk. What should they change to get better performance from this system?
OptionsMultipleChoice
Your company is using BigQuery as its enterprise data warehouse. Data is distributed over several Google Cloud projects. All queries on BigQuery need to be billed on a single project. You want to make sure that no query costs are incurred on the projects that contain the dat
a. Users should be able to query the datasets, but not edit them.
How should you configure users' access roles?
OptionsMultipleChoice
Your company has an application running on Compute Engine mat allows users to play their favorite music. There are a fixed number of instances Files are stored in Cloud Storage and data is streamed directly to users. Users are reporting that they sometimes need to attempt to play popular songs multiple times before they are successful. You need to improve the performance of the application. What should you do?
OptionsMultipleChoice
For this question, refer to the JencoMart case study.
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asi
a. You want to measure success against their business and technical goals. Which metrics should you track?
OptionsMultipleChoice
For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry dat
a. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?
OptionsMultipleChoice
Your customer runs a web service used by e-commerce sites to offer product recommendations to users. The company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model's results over time?
OptionsMultipleChoice
You need to upload files from your on-premises environment to Cloud Storage. You want the files to be
encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?
OptionsMultipleChoice
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application’s performance. What should you do?
OptionsMultipleChoice
Your company is using BigQuery as its enterprise data warehouse. Data is distributed over several Google Cloud projects. All queries on BigQuery need to be billed on a single project. You want to make sure that no query costs are incurred on the projects that contain the data. Users should be able to query the datasets, but not edit them.
How should you configure users’ access roles?
Options