- (Topic 5)
An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs, what should you do?

1. A. Direct them to download and install the Google StackDriver logging agent.
2. B. Send them a list of online resources about logging best practices.
3. C. Help them define their requirements and assess viable logging tools.
4. D. Help them upgrade their current tool to take advantage of any new features.

Correct Answer: C
Help them define their requirements and assess viable logging tools. They know the requirements and the existing tools' problems. While it's true StackDriver Logging and Error Reporting possibly meet all their requirements, there might be other tools also meet their need. They need you to provide expertise to make assessment for new tools, specifically, logging tools that can "capture errors and help them analyze their historical log data".
References: https://cloud.google.com/logging/docs/agent/installation

- (Topic 2)
For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. 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?

1. A. Have the vehicle’ computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.
2. B. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.
3. C. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.
4. D. Have the vehicle's computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.

Correct Answer: D
Coldline Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs. For example:
Cold Data Storage - Infrequently accessed data, such as data stored for legal or regulatory reasons, can be stored at low cost as Coldline Storage, and be available when you need it. Disaster recovery - In the event of a disaster recovery event, recovery time is key. Cloud Storage provides low latency access to data stored as Coldline Storage.
References: https://cloud.google.com/storage/docs/storage-classes

- (Topic 5)
A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases. What should you do?

1. A. Set timeouts on your application so that you can fail requests faster.
2. B. Send custom metrics for each of your requests to Stackdriver Monitoring.
3. C. Use Stackdriver Monitoring to look for insights that show when your API latencies are high.
4. D. Instrument your application with Stackdnver Trace in order to break down the request latencies at each microservice.

Correct Answer: D
https://cloud.google.com/trace/docs/overview

- (Topic 4)
For this question, refer to the Dress4Win case study.
The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?

1. A. Grant the operations engineers access to use Google Cloud Shell.
2. B. Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
3. C. Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.
4. D. Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.

Correct Answer: A

- (Topic 5)
Your company has a stateless web API that performs scientific calculations. The web API runs on a single Google Kubernetes Engine (GKE) cluster. The cluster is currently deployed in us-central1. Your company has expanded to offer your API to customers in Asia. You want to reduce the latency for the users in Asia. What should you do?

1. A. Use a global HTTP(s) load balancer with Cloud CDN enabled
2. B. Create a second GKE cluster in asia-southeast1, and expose both API’s using a Service oftype Load Balance
3. C. Add the public Ips to the Cloud DNS zone
4. D. Increase the memory and CPU allocated to the application in the cluster
5. E. Create a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer

Correct Answer: D
https://cloud.google.com/kubernetes-engine/docs/concepts/multi-cluster- ingress#how_works
https://github.com/GoogleCloudPlatform/k8s-multicluster-ingress https://cloud.google.com/blog/products/gcp/how-to-deploy-geographically-distributed-services-on-kubernetes-engine-with-kubemci