- (Exam Topic 1)
Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.
Which Google Cloud product or feature should your organization choose?

1. A. BigQuery ML
2. B. LookML
3. C. TensorFlow
4. D. Cloud SQL

Correct Answer: A
Reference: https://cloud.google.com/architecture/predicting-customer-propensity-to-buy

- (Exam Topic 1)
Your team is using BigQuery as your central data warehouse. You are running a certain workload that you've run frequently over the last few days. It is a short, high capacity ana-lytics workload. Which of the following would be an appropriate pricing model to use?

1. A. There is no need for any pricing model the first 1 TB of query data processed per month is free.
2. B. On-demand pricing
3. C. Flex Slots
4. D. Flat-rate reservations

Correct Answer: C
Option A is Correct- BigQuery Flex Slots for cyclical workloads that require extra capacity, or for workloads that need to process a lot of data in a short time, and so would be less expensive to run using reserved slots for a short time.

- (Exam Topic 2)
Your customer is moving from AWS to Google Cloud. Data also needs to be moved. There is about 50TB of data. On AWS, the data resides in an S3 bucket. It is going to be moved to Cloud Storage. Data is also being continuously generated on S3 prior to the cutover. It is preferable that this is also periodically transferred. What is the best way to move the data?

1. A. Use the gsutil command-line option
2. B. Use the Google Cloud console to drag and drop the files easily
3. C. Use the Storage Transfer Service
4. D. Use a Transfer Appliance

Correct Answer: C
Storage Transfer Service provides options that make data transfers and synchronization easier. We can also schedule one-time transfer operations or recurring transfer operations.
Text Description automatically generated

Reference link- https://cloud.google.com/storage-transfer/docs/overview
Reference linkhttps://cloud.google.com/architecture/transferring-data-from-amazon-s3-to-cloud-storage-using-vpc-service-c

- (Exam Topic 1)
Your organization is running all its workloads in a private cloud on top of a hypervisor. Your organization has decided it wants to move to Google Cloud as quickly as possible. Your organization wants minimal changes to the current environment, while using the maximim amount of managed services Google offers.
What should your organization do?

1. A. Migrate the workloads to Google Cloud VMware Engine
2. B. Migrate the workloads to Compute Engine
3. C. Migrate the workloads to Bare Metal Solution
4. D. Migrate the workloads to Google Kubernetes Engine

Correct Answer: B
Migrate for Compute Engine enables you to lift and shift workloads at scale to Google Cloud Compute Engine with minimal changes and risk.
Reference: https://dataintegration.info/simplify-vm-migrations-with-migrate-for-compute-engine-as-a-service

- (Exam Topic 1)
– basically, anything that you may require from the project
Your organization wants to run a container-based application on Google Cloud. This application is expected to increase in complexity. You have a security need for fine-grained control of traffic between the containers. You also have an operational need to exercise fine-grained control over the application’s scaling policies.
What Google Cloud product or feature should your organization use?

1. A. Google Kubernetes Engine cluster
2. B. App Engine
3. C. Cloud Run
4. D. Compute Engine virtual machines

Correct Answer: A
Google Kubernetes Engine GKE seems a better fit since the requirement is for "security need for fine-grained control of traffic between the containers" and "fine-grained control over scaling policies". Such level of control is easier on GKE that Cloud Run.
Text Description automatically generated

Reference
link- https://cloud.google.com/blog/products/containers-kubernetes/when-to-use-google-kubernetes-engine-vs