Diagnostic questions:
1-An application running on a highly-customized version of Ubuntu needs to be
migrated to Google Cloud. You need to do this in the least amount of time with
minimal code changes. How should you proceed?
->
2- Cymbal Superstore is piloting an update to its ecommerce app for the flagship
store in Minneapolis, Minnesota. The app is implemented as a three-tier web service
with traffic originating from the local area and resources dedicated for it in us-
central1. You need to configure a secure, low-cost network load-balancing
architecture for it. How do you proceed?
-> Configure a standard tier proxied external https load balancer connected to the
web tier as a frontend and a regional internal load balancer between the web tier
and the backend.[Correct! A standard tier proxied external load balancer is
effectively a regional resource. A regional internal load balancer doesn’t require
external IPs and is more secure.]
3- You want to deploy a microservices application. You need full control of how you
manage containers, reliability, and autoscaling, but don’t want or need to manage
the control plane. Which compute option should you use?
-> Google Kubernetes Engine[Correct! Google Kubernetes Engine gives you full
control of container orchestration and availability.]
4- Cymbal Superstore’s supply chain application frequently analyzes large amounts
of data to inform business processes and operational dashboards. What storage class
would make sense for this use case?
-> Standard[Correct. Standard storage is best for data that is frequently accessed
("hot" data) and/or stored for only brief periods of time. In addition, co-locating
your resources by selecting the regional option maximizes the performance for data-
intensive computations and can reduce network charges.]
5- Cymbal Superstore decides to pilot a cloud application for their point of sale
system in their flagship store. You want to focus on code and develop your solution
quickly, and you want your code to be portable. How do you proceed?
-> Package your code to a container image and post it to Cloud Run.[Correct! Cloud
Run provides serverless container management. It lets you focus on code and you can
deploy your solution quickly.]
6- Which Google Cloud load balancing option runs at Layer 7 of the TCP stack?
-> Global http(s) [Correct! https(s) is an application protocol, so it lives at
layer 7 of the TCP stack.]
7- The projected amount of cloud storage required for Cymbal Superstore to enable
users to post pictures for project reviews is 10 TB of immediate access storage in
the US and 30 TB of storage for historical posts in a bucket located near Cymbal
Superstore’s headquarters. The contents of this bucket will need to be accessed
once every 30 days. You want to estimate the cost of these storage resources to
ensure this is economically feasible. What should you do?
-> Use the pricing calculator to estimate the price for 10 TB of multi-region
Standard storage, 30 TB for regional Nearline, and egress charges for reads from
the bucket.[Correct! Data storage pricing is based on the amount of data and
storage type. Standard storage is immediately available. Nearline storage is for
data accessed roughly every 30 days. Egress is the amount of data read from the
bucket and is also chargeable.]
8- Cymbal Superstore decides to migrate their supply chain application to Google
Cloud. You need to configure specific operating system dependencies. What should
you do?
-> Implement an application using virtual machines on Compute Engine.[Correct!
Compute Engine gives you full control over operating system choice and
configuration.]
9- Cymbal Superstore needs to analyze whether they met quarterly sales projections.
Analysts assigned to run this query are familiar with SQL. What data solution
should they implement?
-> BigQuery [Correct! BigQuery is Google Cloud’s implementation of a modern data
warehouse. BigQuery analyzes historical data and uses a SQL query engine.]
10- Cymbal Superstore has a need to populate visual dashboards with historical
time-based data. This is an analytical use-case. Which two storage solutions could
they use?
-> BigQuery[Correct! BigQuery is a data warehouse offering optimized to query
historical time-based data. BigQuery can run queries against data in its own
column-based store or run federated queries against data from other data services
and file stores.]
-> Cloud Bigtable [Correct! Cloud Bigtable is a petabyte scale, NoSQL, column
family database with row keys optimized for specific queries. It is used to store
historic, time-based data and answers the need for this requirement.]
Knowledge Check
1- Which storage class is designed for long term storage has a 365 day minimum
storage agreement, and a lower storage price as compared to other storage types?
-> Archive storage [Correct! Archive storage is designed for this use.]
2- Which serverless option is based on developing and executing small snippets of
code?
-> Cloud Functions [Correct! Cloud Functions allows you to submit and execute small
snippets of code that fire based on system events.]
