First Attempt Guaranteed Success in Professional-Cloud-Architect Exam 2022
Real Professional-Cloud-Architect Exam Questions are the Best Preparation Material
NEW QUESTION 117
You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?
- A. Create the Key object for each Entity and run a batch get operation
- B. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
- C. Use the identifiers to create a query filter and run a batch query operation
- D. Create the Key object for each Entity and run multiple get operations, one operation for each entity
Answer: A
NEW QUESTION 118
TerramEarth has equipped all connected trucks with servers and sensors to collect 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?
- A. Have the vehicle's computer compress the data in hourly snapshots, and store it in a Google Cloud
Storage (GCS) Nearline bucket - B. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it
in Cloud Bigtable - C. Have the vehicle's computer compress the data in hourly snapshots, and store it in a GCS Coldline
bucket - D. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it
in Google BigQuery
Answer: C
Explanation:
Explanation/Reference:
Explanation:
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
NEW QUESTION 119
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 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.
- B. 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.
- C. 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.
- 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.
Answer: C
NEW QUESTION 120
For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.
What should you do?
- A. Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.
- B. Use Stackdriver Monitoring to create a dashboard on the project's activity.
- C. Use Stackdriver Trace to create a trace list analysis.
- D. Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.
Answer: A
NEW QUESTION 121
You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?
- A. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.
- B. Use Spinnaker to deploy builds to production and run tests on production deployments.
- C. Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
After testing, tag the repository for production and deploy that to the production environment. - D. Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.
Answer: D
Explanation:
Reference: https://github.com/GoogleCloudPlatform/continuous-deployment-on-kubernetes/blob/master/ README.md
NEW QUESTION 122
For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.
What change in the on-premises architecture should you make?
- A. Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.
- B. Containerize the micro services and host them in Google Kubernetes Engine.
- C. Replace RabbitMQ with Google Pub/Sub.
- D. Resize compute resources to match predefined Compute Engine machine types.
Answer: D
Explanation:
Reference:
NEW QUESTION 123
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?
- A. Stream data into Google Cloud Datastore.
- B. Put flat files into Google Cloud Storage.
- C. Insert data into Google Cloud SQL.
- D. Load data into Google BigQuery.
Answer: D
NEW QUESTION 124
Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication.
Which networking approach should you use?
- A. Google Cloud Dedicated Interconnect
- B. A Google Compute Engine instance with a VPN server installed connected to the data center network
- C. Google Cloud VPN connected to the data center network
- D. A NAT and TLS translation gateway installed on-premises
Answer: C
NEW QUESTION 125
You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly. What should you do?
- A. Write a shell script that gathers metrics from GKE nodes, publish these metrics to a Pub/Sub topic, export the data to BigQuery, and make a Data Studio dashboard.
- B. Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.
- C. Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.
- D. Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.
Answer: D
Explanation:
Reference: https://cloud.google.com/monitoring/charts/dashboards
NEW QUESTION 126
As part of implementing their disaster recovery plan, your company is trying to replicate their production MySQL database from their private data center to their GCP project using a Google Cloud VPN connection. They are experiencing latency issues and a small amount of packet loss that is disrupting the replication. What should they do?
- A. Configure a Google Cloud Dedicated Interconnect.
- B. Restore their database daily using Google Cloud SQL.
- C. Send the replicated transaction to Google Cloud Pub/Sub.
- D. Configure their replication to use UDP.
- E. Add additional VPN connections and load balance them.
Answer: A
NEW QUESTION 127
For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction accuracy from their ML prediction models. They want you to use Google's AI Platform so HRL can understand and interpret the predictions. What should you do?
- A. Use Google Cloud's operations suite.
- B. Use Explainable AI.
- C. Use Jupyter Notebooks.
- D. Use Vision AI.
Answer: B
Explanation:
Topic 9, EHR Health Care
Company overview
EHR Healthcare is a leading provider of electronic health record software to the medical industry. EHR Healthcare provides their software as a service to multi-national medical offices, hospitals, and insurance providers.
Solution concept
Due to rapid changes in the healthcare and insurance industry, EHR Healthcare's business has been growing exponentially year over year. They need to be able to scale their environment, adapt their disaster recovery plan, and roll out new continuous deployment capabilities to update their software at a fast pace. Google Cloud has been chosen to replace their current colocation facilities.
Existing technical environment
EHR's software is currently hosted in multiple colocation facilities. The lease on one of the data centers is about to expire.
Customer-facing applications are web-based, and many have recently been containerized to run on a group of Kubernetes clusters. Data is stored in a mixture of relational and NoSQL databases (MySQL, MS SQL Server, Redis, and MongoDB).
EHR is hosting several legacy file- and API-based integrations with insurance providers on-premises. These systems are scheduled to be replaced over the next several years. There is no plan to upgrade or move these systems at the current time.
Users are managed via Microsoft Active Directory. Monitoring is currently being done via various open source tools. Alerts are sent via email and are often ignored.
Business requirements
* On-board new insurance providers as quickly as possible.
* Provide a minimum 99.9% availability for all customer-facing systems.
* Provide centralized visibility and proactive action on system performance and usage.
* Increase ability to provide insights into healthcare trends.
* Reduce latency to all customers.
* Maintain regulatory compliance.
* Decrease infrastructure administration costs.
* Make predictions and generate reports on industry trends based on provider data.
Technical requirements
* Maintain legacy interfaces to insurance providers with connectivity to both on-premises systems and cloud providers.
* Provide a consistent way to manage customer-facing applications that are container-based.
* Provide a secure and high-performance connection between on-premises systems and Google Cloud.
* Provide consistent logging, log retention, monitoring, and alerting capabilities.
* Maintain and manage multiple container-based environments.
* Dynamically scale and provision new environments.
* Create interfaces to ingest and process data from new providers.
Executive statement
Our on-premises strategy has worked for years but has required a major investment of time and money in training our team on distinctly different systems, managing similar but separate environments, and responding to outages. Many of these outages have been a result of misconfigured systems, inadequate capacity to manage spikes in traffic, and inconsistent monitoring practices. We want to use Google Cloud to leverage a scalable, resilient platform that can span multiple environments seamlessly and provide a consistent and stable user experience that positions us for future growth.
NEW QUESTION 128
You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket.
You want to optimize ongoing Cloud Storage spend.
What should you do?
- A. Write a lifecycle management rule in JSON and push it to the bucket with gsutil
- B. Schedule a cron script using gsutil ls -lr gs://backups/**to find and remove items older than 90 days
- C. Schedule a cron script using gsutil ls -l gs://backups/**to find and remove items older than 90 days and schedule it with cron
- D. Write a lifecycle management rule in XML and push it to the bucket with gsutil
Answer: A
NEW QUESTION 129
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
Explanation:
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:
Incorrect Answers:
D: The Blobstore API allows your application to serve data objects, called blobs, that are much larger than the size allowed for objects in the Datastore service. Blobs are useful for serving large files, such as video or image files, and for allowing users to upload large data files.
References:
https://www.mongodb.com/nosql-explained
Topic 1, Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the gams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.
NEW QUESTION 130
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?
- A. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
- B. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
- C. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
- D. Create a cron script using gsutil to copy the files to a Regional Storage bucket.
Answer: B
Explanation:
Explanation
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
* When transferring data from an on-premises location, use gsutil.
* When transferring data from another cloud storage provider, use Storage Transfer Service.
* Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate
https://cloud.google.com/storage-transfer/docs/overview
NEW QUESTION 131
A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed. What is the most likely cause of this problem?
- A. The session variable is local to just a single instance.
- B. The HTTP Expires header needs to be set to -1 to stop caching.
- C. The URL of the API needs to be modified to prevent caching.
- D. The session variable is being overwritten in Cloud Datastore.
Answer: A
Explanation:
Reference:
https://stackoverflow.com/questions/3164280/google-app-engine-cache-list-in-session-variable?rq=1
NEW QUESTION 132
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?
- A. Run your script on a new virtual machine with the BigQuery access scope enabled
- B. Install the bq component for gccloud with the command gcloud components install bq.
- C. Install the latest BigQuery API client library for Python
- D. Create a new service account with BigQuery access and execute your script with that user
Answer: A
Explanation:
Explanation
The error is most like caused by the access scope issue. When create new instance, you have the default Compute engine default service account but most serves access including BigQuery is not enable. Create an instance Most access are not enabled by default You have default service account but don't have the permission (scope) you can stop the instance, edit, change scope and restart it to enable the scope access. Of course, if you Run your script on a new virtual machine with the BigQuery access scope enabled, it also works
https://cloud.google.com/compute/docs/access/service-accounts
NEW QUESTION 133
Your applications will be writing their logs to BigQuery for analysis. Each application should have its own table.
Any logs older than 45 days should be removed. You want to optimize storage and follow Google recommended practices. What should you do?
- A. Make the tables time-partitioned, and configure the partition expiration at 45 days
- B. Configure the expiration time for your tables at 45 days
- C. Create a script that uses the BigQuery command line tool (bq) to remove records older than 45 days
- D. Rely on BigQuery's default behavior to prune application logs older than 45 days
Answer: B
Explanation:
Reference:https://cloud.google.com/bigquery/docs/managing-tables
NEW QUESTION 134
Case Study: 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
structure
* PostgreSQL database stores user credentials
-homed in US West
Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
* 20 machines in US East Coast, each machine has:
-core CPU
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.
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals. Which metrics should you track?
- A. Latency difference between US and Asia
- B. The number of character sets present in the database
- C. Error rates for requests from Asia
- D. Total visits, error rates, and latency from Asia
- E. Total visits and average latency for users in Asia
Answer: E
Explanation:
From scenario:
Business Requirements include: Expand services into Asia
Technical Requirements include: Decrease latency in Asia
NEW QUESTION 135
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform.
Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier. How should you configure the network?
- A. Add tags to each tier and set up routes to allow the desired traffic flow.
- B. Add tags to each tier and set up firewall rules to allow the desired traffic flow.
- C. Add each tier to a different subnetwork.
- D. Set up software based firewalls on individual VMs.
Answer: B
Explanation:
https://aws.amazon.com/blogs/aws/building-three-tier-architectures-with-security-groups/
NEW QUESTION 136
TerramEarth has about 1 petabyte (PB) of vehicle testing data in a private data center. You want to move the data to Cloud Storage for your machine learning team. Currently, a 1-Gbps interconnect link is available for you. The machine learning team wants to start using the data in a month. What should you do?
- A. Export files to an encrypted USB device, send the device to Google Cloud, and request an import of the data to Cloud Storage
- B. Make sure there are no other users consuming the 1 Gbps link, and use multi-thread transfer to upload the data to Cloud Storage.
- C. Request Transfer Appliances from Google Cloud, export the data to appliances, and return the appliances to Google Cloud.
- D. Configure the Storage Transfer service from Google Cloud to send the data from your data center to Cloud Storage
Answer: C
NEW QUESTION 137
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?
- A. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
- B. Google Container Registry, Google Container Engine, Google HTTP(s) Load Balancer
- C. Google Cloud Storage, Google App Engine, Google Network Load Balancer
- D. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
Answer: D
Explanation:
Explanation
https://cloud.google.com/load-balancing/
https://cloud.google.com/solutions/ansible-with-spinnaker-tutorial
http://blog.armory.io/what-is-immutable-infrastructure/
https://cloud.google.com/compute/docs/load-balancing/http/
Google Cloud Functions is a serverless environment to build and connect cloud services.
Google Cloud Pub/Sub brings the scalability, flexibility, and reliability of enterprise message-oriented middleware to the cloud. By providing many-to-many, asynchronous messaging that decouples senders and receivers, it allows for secure and highly available communication between independently written applications. Google Cloud Pub/Sub delivers low-latency, durable messaging that helps developers quickly integrate systems hosted on the Google Cloud Platform and externally.
NEW QUESTION 138
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the
ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow
Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?
- A. Compute Engine with specific SSH keys
- B. Cloud IoT Core with public/private key pairs
- C. Google Kubernetes Engine with an SSL Ingress
- D. Compute Engine with project-wide SSH keys
Answer: C
Explanation:
Explanation/Reference:
Testlet 1
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 premium 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 collocated 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.
NEW QUESTION 139
Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs.
What should they do?
- A. Reconfigure old clients to use a new endpoint for the new API
- B. Have the old API forward traffic to the new API based on the path
- C. Configure a new load balancer for the new version of the API
- D. Use separate backend pools for each API path behind the load balancer
Answer: D
NEW QUESTION 140
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. Configure their load balancer to pass through the User-Agent HTTP header when the value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
- B. 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)
- C. Install the Stackdriver agent on all of the legacy web servers.
- D. In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an inbound firewall rule
Answer: A
NEW QUESTION 141
......
Exam Details
The Google Professional Cloud Architect test is timed. The exact number of questions has not been revealed by the vendor. But, it is known that candidates will be given 2 hours to complete the exam, and the questions will be based on multiple-choice and multiple select types. Available languages are English and Japanese, and one should pay $200 as a registration fee. Note that there can be an additional tax.
When it comes to the exam delivery formats, there are two choices for an aspirant. They can either sit for it in a testing center near them or can avail of the online proctoring facility. In both methods, the content and pattern of the test will be the same.
For this exam, a beta version is offered as well. Anyone who wants to save 40% on the total fee or willing to recertify can take it. The cost in this case is $120, the length increases to 3 hours, and some questions may be provided in the form of case studies. Also, pay attention to the fact that the results will be known after 6-8 weeks only.
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