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You have an application deployed on Google Kubernetes Engine using a Deployment named echo-deployment.
The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?

  • A. Update the deployment yaml file with the new container image. Use kubectl delete deployment/ echo-deployment and kubectl create -f <yaml-file>
  • B. Use kubectl set image deployment/echo-deployment <new-image>
  • C. Update the service yaml file which the new container image. Use kubectl delete service/echo- service and kubectl create -f <yaml-file>
  • D. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster

Answer: D

Explanation/Reference: https://cloud.google.com/kubernetes-engine/docs/how-to/updating-apps


For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an automated daily basis while managing cost.
What should you do?

  • A. Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.
  • B. Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the result to a new table.
  • C. Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.
  • D. Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Function from a Compute Engine instance.

Answer: C


You are using Cloud Shell and need to install a custom utility for use in a few weeks. Where can you store the file so it is in the default execution path and persists across sessions?

  • A. /google/scripts
  • B. ~/bin
  • C. /usr/local/bin
  • D. Cloud Storage

Answer: B


For this question, refer to the JencoMart case study
A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly. What three steps should you take to diagnose the problem?
Choose 3 answers

  • A. Delete the virtual machine (VM) and disks and create a new one.
  • B. Take a snapshot of the disk and connect to a new machine to investigate.
  • C. Delete the instance, attach the disk to a new VM, and investigate.
  • D. Connect the machine to another network with very simple firewall rules and investigate.
  • E. Check inbound firewall rules for the network the machine is connected to.
  • F. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate.

Answer: B,E,F

https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-ssh D: Handling “Unable to connect on port 22” error message Possible causes include:
There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
F: Handling “Could not connect, retrying…” error
You can verify that the daemon is running by navigating to the serial console output page and looking for output lines prefixed with the accounts-from-metadata: string. If you are using a standard image but you do not see these output prefixes in the serial console output, the daemon might be stopped. Reboot the instance to restart the daemon.
Topic 4, Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win’s application has grown from a few servers in the founder’s garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application’s rapid growth. Because of this growth and the company’s desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
* Databases:
* MySQL – user data, inventory, static data
* Redis – metadata, social graph, caching
* Application servers:
* Tomcat – Java micro-services
* Nginx – static content
* Apache Beam – Batch processing
* Storage appliances:
* iSCSI for VM hosts
* Fiber channel SAN – MySQL databases
* NAS – image storage, logs, backups
* Apache Hadoop/Spark servers:
* Data analysis
* Real-time trending calculations
* MQ servers:
* Messaging
* Social notifications
* Events
* Miscellaneous servers:
* Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
* Build a reliable and reproducible environment with scaled parity of production.
* Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
* Improve business agility and speed of innovation through rapid provisioning of new resources.
* Analyze and optimize architecture for performance in the cloud.
* Migrate fully to the cloud if all other requirements are met.
Technical Requirements
* Evaluate and choose an automation framework for provisioning resources in cloud.
* Support failover of the production environment to cloud during an emergency.
* Identify production services that can migrate to cloud to save capacity.
* Use managed services whenever possible.
* Encrypt data on the wire and at rest.
* Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.


Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting.
There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?

  • A. Flat file
  • B. Relational
  • C. NoSQL
  • D. Blobstore

Answer: C

Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today.
NoSQL fits well for:
Developers are working with applications that create massive volumes of new, rapidly changing data types – structured, semi-structured, unstructured and polymorphic data.



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