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App Engine has been deployed in your customers GCP cloud deployment. The customer would like to know more about the benefits of App Engine Flexible. Please advise them on the benefits of App Engine Flexible (Select Two Answers)

A.

Supports autoscaling

B.

Supports Docker containers

C.

Supports mainframe connectivity

D.

Source code is written in specific versions of the supported programming lan-guages only

Customer Managed Encryption Keys (CMEK) can be used for encrypting data inside Cloud BigTable, which of the following statements is/are correct. (Select two answer)

A.

Administrators can not rotate

B.

Not supported for instances that have clustered in more than one region.

C.

CMEK can only be configured at the cluster level.

D.

You can not use the same CMEK key in multiple projects

How does a least privilege resource access model contribute to cloud security?

A.

Google is responsible for determining access to cloud resources.

B.

Employees may only access on-premises software with special permission.

C.

Only managers and other senior employees have cloud resource access.

D.

Employees only have access to the cloud resources necessary for their job.

A customer is migrating there on-promises data analytics solution to Google Cloud. The current solution has a lot of data being read form and written to disk. The performance of this approach has occasionally been a bottleneck for a scale of operations that your cus-tomer has. The application is fault tolerant and can with stand machine going down fre-quently. In moving to Google Cloud they are asking your advice on any way to improve performance?

A.

Use Big Query Which has very fast data access and analysis

B.

Use Cloud Storage which can be central, scalable storage

C.

Use local SSDs with the VMs

D.

Use Persistent Disk with the VMs

When creating machine learning models, a key initial step is to identify the type of model required. One of these is the classification model. Which of these statements define a classification model?

A.

A type of machine learning model for distinguishing among two or more discrete values. E.g. "book", "car".

B.

A type of machine learning model is a meta-model maker, which classifies algo-rithms based on the quality of their output.

C.

A type of machine learning model that outputs continuous (typically, floating-point) values. E.g. the predicted price of the house is $120,000.

D.

A type of classic model approach that is less used today and which has been re-placed by the regression model.

Keeping Flavours of Apigee in mind, which of the following statements is/are correct?

A.

A hybrid version consisting of a runtime plane installed on-premises or in a cloud provider of your choice, and a management plane running in Apigee's cloud. In this model, API traffic and data are confined within your own enterprise-approved boundaries.

B.

A hosted SaaS version in which Apigee maintains the environment, allowing you to concentrate on building your services and defining the APIs to those services.

C.

There are two types of Flavours in Apigee i.e. Apigee & Apigee Hybrid.

D.

All of the above are correct.

certain devices for cracks, rust, etc. Some of these issues are difficult to identify for a human and your company has seen increasing customer complaints - the customer has paid for an inspection and the field agent said there was no problem, but it later turned out there actually was. The team has come up with a proposal to engage AI to identify issues. On evaluating the existing system, it is seen that the mobile phone network connection is not good or consistent. What solution can work for them?

A.

Use AutoML Vision Edge models.

B.

Use the Rust programming language instead of Python to identify issues like rust.

C.

Use Cloud TPUs which will be able to do the analysis faster on the cloud. Thus re-sponses also will be fast.

D.

Use TensorFlow to create custom models and deploy it as TensorFlow Lite mod-els.

The Border Security Agency has hired your software services firm to build an application for them that will collect information about visas stamped on passports. You are given stamped images. You have to find out which country issued the visa and the period of validity. Pull out this data and put it into a database. Which of these applications would be suitable for that?

A.

Use Cloud Vision API - write code to identify the text blocks, copy the data, and store it

B.

Use TensorFlow - write code that will identify the type of visa and the bounding text blocks. Copy the data and then store it.

C.

Use AutoML - upload other images of visas and run the model creation process which will automatically identify the visas

D.

Use Data Labeling service - outsource the work of marking and extracting the in-formation to others.

You are running a data warehouse on BigQuery. A partner company is offering a recommendation engine based on the data in your data warehouse. The partner company is also running their applica-tion on Google Cloud. They manage the resources in their own project, but they need access to the BigQuery dataset in your project. You want to provide the partner company with access to the da-taset. What should you do?

A.

Ask the partner to create a Service Account in their project, and have them give the Service Account access to BigQuery in their project.

B.

Create a Service Account in your own project, and grant this Service Account ac-cess to BigQuery in your project.

C.

Create a Service Account in your own project, and ask the partner to grant this Service Account access to BigQuery in their project.

D.

Ask the partner to create a Service Account in their project, and grant their Service Account access to the BigQuery dataset in your project.

Compute Engine provides machine type recommendations to help you optimize the re-source utilization of your virtual machine (VM) instances. What is this capability called?

A.

App Engine

B.

None of the above

C.

Rightsizing Recommendations

D.

Recommendation Engine