Topic 3, JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such
as groceries, tires, and jewelry. One of the company’s core values is excellent customer service. In addition,
they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world’s leading brands known for
great value and customer service. Over time, the company transitioned from only physical stores to a stores
and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but
considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review
to determine their suitability for the cloud and the engineering required for migration. They currently host all
of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most
applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data
centers.
Database
• Oracle Database stores user profiles
20 TB
Complex table structure
Well maintained, clean data
Strong backup strategy
• PostgreSQL database stores user credentials
Single-homed in US West
No redundancy
Backed up every 12 hours
100% uptime service level agreement (SLA)
Authenticates all users
Compute
• 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
Twin 250 GB HDD (RAID 1)
• 20 machines in US East Coast, each machine has:
Single dual-core CPU
24 GB of RAM
Twin 250 GB HDD (RAID 1)
Storage
• Access to shared 100 TB SAN in each location
• Tape backup every week
Business Requirements
• Optimize for capacity during peak periods and value during off-peak periods
• Guarantee service availably and support
• Reduce on-premises footprint and associated financial and environmental impact.
• Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
• Expand services into Asia.
Technical Requirements
• Assess key application for cloud suitability.
• Modify application for the cloud.
• Move applications to a new infrastructure
• Leverage managed services wherever feasible
• Sunset 20% of capacity in existing data centers
• Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web.
The future of our retail business is in the global market and the connection between online and in-store
experiences. As a large global company, we also have a responsibility to the environment through ‘green’
initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long-term success.
Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine
learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of
changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model
will allow us to respond to increasing customer demand during peak and reduce costs.
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.
Delete the instance, attach the disk to a new VM, and investigate.
C.
Take a snapshot of the disk and connect to a new machine to investigate.
D.
Check inbound firewall rules for the network the machine is connected to.
E.
Connect the machine to another network with very simple firewall rules and investigate.
F.
Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and
investigate.
Take a snapshot of the disk and connect to a new machine to investigate.
Check inbound firewall rules for the network the machine is connected to.
Connect the machine to another network with very simple firewall rules and investigate.
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-ssh
For this question, refer to the JencoMart case study.
JencoMart wants to move their User Profiles database to Google Cloud Platform. Which Google Database should they use?
A.
Cloud Spanner
B.
Google BigQuery
C.
Google Cloud SQL
D.
Google Cloud Datastore
Google Cloud Datastore
https://cloud.google.com/datastore/docs/concepts/overview
For this question, refer to the JencoMart case study.
The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least
privilege model with separation of duties for administration between production and development resources.
What Google domain and project structure should you recommend?
A.
Create two G Suite accounts to manage users: one for development/test/staging and one for production.
Each account should contain one project for every application.
B.
Create two G Suite accounts to manage users: one with a single project for all development applications
and one with a single project for all production applications.
C.
Create a single G Suite account to manage users with each stage of each application in its own project.
D.
Create a single G Suite account to manage users with one project for the development/test/staging
environment and one project for the production environment.
Create two G Suite accounts to manage users: one for development/test/staging and one for production.
Each account should contain one project for every application.
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#projects-and-access
Question #:24 - (Exam Topic 4)
For this question, refer to the Dress4Win case study.
Dress4Win has asked you for advice on how to migrate their on-premises MySQL deployment to the cloud.
They want to minimize downtime and performance impact to their on-premises solution during the migration.
Which approach should you recommend?
A.
Create a dump of the on-premises MySQL master server, and then shut it down, upload it to the cloud
environment, and load into a new MySQL cluster.
B.
Setup a MySQL replica server/slave in the cloud environment, and configure it for asynchronous
replication from the MySQL master server on-premises until cutover.
C.
Create a new MySQL cluster in the cloud, configure applications to begin writing to both on-premises
and cloud MySQL masters, and destroy the original cluster at cutover.
D.
Create a dump of the MySQL replica server into the cloud environment, load it into: Google Cloud
Datastore, and configure applications to read/write to Cloud Datastore at cutover.
Setup a MySQL replica server/slave in the cloud environment, and configure it for asynchronous
replication from the MySQL master server on-premises until cutover.
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?
A.
Grant the operations engineers access to use Google Cloud Shell.
B.
Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
C.
Develop a new access request process that grants temporary SSH access to cloud VMs when an
operations engineer needs to perform a task.
D.
Have the development team build an API service that allows the operations team to execute specific
remote procedure calls to accomplish their tasks
Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
The current Dress4win system architecture has high latency to some customers because it is located in one
data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it's
system
architecture to multiple locations when Google cloud platform.
Which approach should they use?
A.
Use regional managed instance groups and a global load balancer to increase performance because the
regional managed instance group can grow instances in each region separately based on traffic.
B.
Use a global load balancer with a set of virtual machines that forward the requests to a closer group of
virtual machines managed by your operations team.
C.
Use regional managed instance groups and a global load balancer to increase reliability by providing
automatic failover between zones in different regions.
D.
Use a global load balancer with a set of virtual machines that forward the requests to a closer group of
virtual machines as part of a separate managed instance groups
Use a global load balancer with a set of virtual machines that forward the requests to a closer group of
virtual machines as part of a separate managed instance groups
For this question, refer to the Dress4Win case study.
Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services.
The Stackdriver dashboard is not reporting the services as healthy. What should they do?
A.
Install the Stackdriver agent on all of the legacy web servers.
B.
In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an
inbound firewall rule
C.
Configure their load balancer to pass through the User-Agent HTTP header when the value matches
GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
D.
Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the
value matches GoogleStackdriverMonitoring— UptimeChecks (https://cloud.google.com/monitoring)
Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the
value matches GoogleStackdriverMonitoring— UptimeChecks (https://cloud.google.com/monitoring)
For this question, refer to the Dress4Win case study.
As part of their new application experience, Dress4Wm allows customers to upload images of themselves. The
customer has exclusive control over who may view these images. Customers should be able to upload images
with minimal latency and also be shown their images quickly on the main application page when they log in.
Which configuration should Dress4Win use?
A.
Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata
that maps each customer's ID and their image files.
B.
Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in
Cloud Storage that contains the customer's unique ID.
C.
Use a distributed file system to store customers' images. As storage needs increase, add more persistent
disks and/or nodes. Assign each customer a unique ID, which sets each file's owner attribute, ensuring
privacy of images.
D.
Use a distributed file system to store customers' images. As storage needs increase, add more persistent
disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer's
ID to their image files
Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata
that maps each customer's ID and their image files.
Dress4win has end to end tests covering 100% of their endpoints.
They want to ensure that the move of cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?
A.
They should run the end to end tests in the cloud staging environment to determine if the code is
working as intended.
B.
They should enable google stack driver debugger on the application code to show errors in the code
C.
They should add additional unit tests and production scale load tests on their cloud staging environment.
D.
They should add canary tests so developers can measure how much of an impact the new release causes
to latency
They should enable google stack driver debugger on the application code to show errors in the code
For this question, refer to the Dress4Win case study.
As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging and
monitoring system so they can handle spikes in their traffic load. They want to ensure that:
• The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage
throughout the day
• Their administrators are notified automatically when their application reports errors.
• They can filter their aggregated logs down in order to debug one piece of the application across many hosts
Which Google StackDriver features should they use?
A.
Logging, Alerts, Insights, Debug
B.
Monitoring, Trace, Debug, Logging
C.
Monitoring, Logging, Alerts, Error Reporting
D.
Monitoring, Logging, Debug, Error Report
Monitoring, Trace, Debug, Logging
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