2021 Valid Professional-Cloud-Architect test answers & Google Exam PDF
Free Google Professional-Cloud-Architect Exam Questions & Answer from Training Expert PrepPDF
What is the duration, language, and format of Google Professional Cloud Architect Exam
- Language: Google Professional Cloud Architect offered in English (U.S.), Japanese, Spanish, and Portuguese
- Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP
- Format: Multiple choices, multiple answers
- Number of Questions: 50-60
- Passing score: 80%
- Length of Examination: 120 minutes
NEW QUESTION 96
You are deploying a PHP App Engine Standard service with SQL as the backend. You want to minimize the number of queries to the database.
What should you do?
- A. Set the memcache service level to dedicated. Create a key from the hash of the query, and return database values from memcache before issuing a query to Cloud SQL.
- B. Set the memcache service level to shared. Create a key called "cached-queries", and return database values from the key before using a query to Cloud SQL.
- C. Set the memcache service level to dedicated. Create a cron task that runs every minute to populate the cache with keys containing query results.
- D. Set the memcache service level to shared. Create a cron task that runs every minute to save all expected queries to a key called "cached-queries".
Answer: A
Explanation:
https://cloud.google.com/appengine/docs/standard/php/memcache/using
NEW QUESTION 97
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 VPN connected to the data center network
- B. Google Cloud Dedicated Interconnect
- C. A Google Compute Engine instance with a VPN server installed connected to the data center network
- D. A NAT and TLS translation gateway installed on-premises
Answer: B
Explanation:
Google Cloud Dedicated Interconnect provides direct physical connections and RFC 1918 communication between your on-premises network and Google's network. Dedicated Interconnect enables you to transfer large amounts of data between networks, which can be more cost effective than purchasing additional bandwidth over the public Internet or using VPN tunnels.
Benefits:
* Traffic between your on-premises network and your VPC network doesn't traverse the public Internet. Traffic traverses a dedicated connection with fewer hops, meaning there are less points of failure where traffic might get dropped or disrupted.
* Your VPC network's internal (RFC 1918) IP addresses are directly accessible from your on-premises network. You don't need to use a NAT device or VPN tunnel to reach internal IP addresses. Currently, you can only reach internal IP addresses over a dedicated connection. To reach Google external IP addresses, you must use a separate connection.
* You can scale your connection to Google based on your needs. Connection capacity is delivered over one or more 10 Gbps Ethernet connections, with a maximum of eight connections (80 Gbps total per interconnect).
* The cost of egress traffic from your VPC network to your on-premises network is reduced. A dedicated connection is generally the least expensive method if you have a high-volume of traffic to and from Google's network.
Reference: https://cloud.google.com/interconnect/docs/details/dedicated
NEW QUESTION 98
Case Study: 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.
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. Monitoring, Logging, Debug, Error Report
- B. Logging, Alerts, Insights, Debug
- C. Monitoring, Trace, Debug, Logging
- D. Monitoring, Logging, Alerts, Error Reporting
Answer: C
NEW QUESTION 99
Your company creates rendering software which users can download from the company website. Your company has customers all over the world. You want to minimize latency for all your customers. You want to follow Google-recommended practices.
How should you store the files?
- A. Save the files in a Regional Cloud Storage bucket, one bucket per zone of the region.
- B. Save the files in a Multi-Regional Cloud Storage bucket.
- C. Save the files in multiple Multi-Regional Cloud Storage buckets, one bucket per multi-region.
- D. Save the files in multiple Regional Cloud Storage buckets, one bucket per zone per region.
Answer: A
NEW QUESTION 100
You need to develop procedures to test a disaster plan for a mission-critical application. You want to use Google-recommended practices and native capabilities within GCP.
What should you do?
- A. Use gcloud scripts to automate service provisioning. Use Stackdriver to monitor and debug your tests.
- B. Use Deployment Manager to automate service provisioning. Use Activity Logs to monitor and debug your tests.
- C. Use gcloud scripts to automate service provisioning. Use Activity Logs monitor and debug your tests.
- D. Use Deployment Manager to automate provisioning. Use Stackdriver to monitor and debug your tests.
Answer: B
NEW QUESTION 101
For this question, refer to the Mountkirk Games case study.
Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?
- A. Verify that the new feature code did not introduce any performance bugs.
- B. Verify that the load-testing team is not running their tool against production.
- C. Verify that the project quota hasn't been exceeded.
- D. Verify that the database is online.
Answer: C
Explanation:
Reference:
503 is service unavailable error. If the database was online everyone would get the 503 error.
https://cloud.google.com/docs/quota#capping_usage
NEW QUESTION 102
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?
- A. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
- B. Replace the existing data warehouse with BigQuery. Use table partitioning.
- C. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
- D. Replace the existing data warehouse with BigQuery. Use federated data sources.
Answer: B
Explanation:
Topic 7, Mountkrik Games Case 2
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their 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.
Business Requirements
* Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
Technical Requirements
Requirements for Game Backend Platform
* Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
Requirements for Game Analytics Platform
* Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting 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 game to target users. Additionally, 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.
NEW QUESTION 103
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers
- A. Cloud Deployment Manager uses Python.
- B. Cloud Deployment Manager is unfamiliar to the company's engineers.
- C. Cloud Deployment Manager APIs could be deprecated in the future.
- D. Cloud Deployment Manager can be used to permanently delete cloud resources.
- E. Cloud Deployment Manager requires a Google APIs service account to run.
- F. Cloud Deployment Manager only supports automation of Google Cloud resources.
Answer: B,F
Explanation:
https://cloud.google.com/deployment-manager/docs/deployments/deleting-deployments
NEW QUESTION 104
Case Study: 4 - Dress4Win
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.
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 its 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 as part of a separate managed instance groups.
- 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 managed by your operations team.
Answer: B
NEW QUESTION 105
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. Add additional VPN connections and load balance them.
- B. Configure a Google Cloud Dedicated Interconnect.
- C. Configure their replication to use UDP.
- D. Send the replicated transaction to Google Cloud Pub/Sub.
- E. Restore their database daily using Google Cloud SQL.
Answer: B
NEW QUESTION 106
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. Add additional VPN connections and load balance them.
- B. Configure a Google Cloud Dedicated Interconnect.
- C. Configure their replication to use UDP.
- D. Send the replicated transaction to Google Cloud Pub/Sub.
- E. Restore their database daily using Google Cloud SQL.
Answer: B
NEW QUESTION 107
For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?
- A. Create network load balancers. Use non-preemptible Compute Engine instances.
- B. Create network load balancers. Use preemptible Compute Engine instances.
- C. Create a global load balancer with managed instance groups and autoscaling policies. Use non-preemptible Compute Engine instances.
- D. Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
Answer: D
NEW QUESTION 108
For this question, refer to the Mountkirk Games case study.
Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way. How should you design the process?
- A. Use the existing infrastructure to test the GCP-based backend at scale.
- B. Create a scalable environment in GCP for simulating production load.
- C. Create a set of static environments in GCP to test different levels of load - for example, high, medium, and low.
- D. Build stress tests into each component of your application using resources internal to GCP to simulate load.
Answer: B
Explanation:
From scenario: Requirements for Game Backend Platform
* Dynamically scale up or down based on game activity
* Connect to a managed NoSQL database service
* Run customize Linux distro
NEW QUESTION 109
You are using Cloud CDN to deliver static HTTP(S) website content hosted on a Compute Engine instance group. You want to improve the cache hit ratio.
What should you do?
- A. Replicate the static content in a Cloud Storage bucket. Point CloudCDN toward a load balancer on that bucket.
- B. Customize the cache keys to omit the protocol from the key.
- C. Shorten the expiration time of the cached objects.
- D. Make sure the HTTP(S) header "Cache-Region" points to the closest region of your users.
Answer: B
Explanation:
Explanation
Reference https://cloud.google.com/cdn/docs/bestpractices#
using_custom_cache_keys_to_improve_cache_hit_ratio
NEW QUESTION 110
Your company pushes batches of sensitive transaction data from its application server VMs to Cloud Pub/Sub for processing and storage. What is the Google-recommended way for your application to authenticate to the required Google Cloud services?
- A. Generate an OAuth2 access token for accessing Cloud Pub/Sub, encrypt it, and store it in Cloud Storage for access from each VM.
- B. Ensure that VM service accounts do not have access to Cloud Pub/Sub, and use VM access scopes to grant the appropriate Cloud Pub/Sub IAM roles.
- C. Create a gateway to Cloud Pub/Sub using a Cloud Function, and grant the Cloud Function service account the appropriate Cloud Pub/Sub IAM roles.
- D. Ensure that VM service accounts are granted the appropriate Cloud Pub/Sub IAM roles.
Answer: D
NEW QUESTION 111
You need to set up Microsoft SQL Server on GCP. Management requires that there's no downtime in case
of a data center outage in any of the zones within a GCP region. What should you do?
- A. Configure a Cloud SQL instance with high availability enabled.
- B. Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in
different zones. - C. Configure a Cloud Spanner instance with a regional instance configuration.
- D. Set up SQL Server on Compute Engine, using Always On Availability Groups using Windows Failover
Clustering. Place nodes in different subnets.
Answer: D
Explanation:
Explanation/Reference:
Reference: https://cloud.google.com/solutions/sql-server-always-on-compute-engine
NEW QUESTION 112
Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings. Which approach should you use?
- A. Configure Stackdriver Monitoring for all Projects, and export to BigQuery.
- B. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.
- C. Grant the security team access to the logs in each Project.
- D. Configure Stackdriver Monitoring for all Projects with the default retention policies.
Answer: B
Explanation:
Explanation: https://cloud.google.com/monitoring/api/v3/metrics
NEW QUESTION 113
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 Cloud Storage, Google App Engine, Google Network Load Balancer
- C. Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
- D. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
Answer: C
Explanation:
Topic 2, TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
* Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory
* Support the dealer network with more data on how their customers use their equipment IP better position new products and services.
* Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast-growing agricultural business-to create compelling joint offerings for their customers CEO Statement We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
NEW QUESTION 114
You need to design a solution for global load balancing based on the URL path being requested. You need to ensure operations reliability and end-to-end in-transit encryption based on Google best practices.
What should you do?
- A. Create a global forwarding rule. Configure SSL proxy balancing.
- B. Create appropriate instance groups and instances. Configure SSL proxy load balancing.
- C. Create a cross-region load balancer with URL Maps.
- D. Create an HTTPS load balancer with URL maps.
Answer: D
Explanation:
Reference:
Reference https://cloud.google.com/load-balancing/docs/https/url-map
NEW QUESTION 115
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?
- A. Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize
CLUSTER_Name - -size 10 - B. Create a new Container Engine cluster with the following command:
gcloud alpha container clusters
create mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
and redeploy your application - C. Add a tag to the instances in the cluster with the following command:
gcloud compute instances add-tags
INSTANCE - -tags enable-
autoscaling max-nodes-10 - D. Update the existing Container Engine cluster with the following command:
gcloud alpha container clusters
update mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Cluster autoscaling
--enable-autoscaling
Enables autoscaling for a node pool.
Enables autoscaling in the node pool specified by --node-pool or the default node pool if --node-pool is not provided.
Where:
--max-nodes=MAX_NODES
Maximum number of nodes in the node pool.
Maximum number of nodes to which the node pool specified by --node-pool (or default node pool if unspecified) can scale.
Incorrect Answers:
C, D: Warning: Do not use Alpha Clusters or alpha features for production workloads.
Note: You can experiment with Kubernetes alpha features by creating an alpha cluster. Alpha clusters are short-lived clusters that run stable Kubernetes releases with all Kubernetes APIs and features enabled.
Alpha clusters are designed for advanced users and early adopters to experiment with workloads that take advantage of new features before those features are production-ready. You can use Alpha clusters just like normal Kubernetes Engine clusters.
References: https://cloud.google.com/sdk/gcloud/reference/container/clusters/create
NEW QUESTION 116
For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you do?
- A. From the Google Console, identify which Compute Engine instances in the managed instance groups are no longer responding to health check probes.
- B. Use the gcloud recommender command to list the idle virtual machine instances.
- C. Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.
- D. Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.
Answer: C
Explanation:
Reference: https://cloud.google.com/compute/docs/instances/viewing-and-applying-idle-vm-recommendations
NEW QUESTION 117
Your company is running its application workloads on Compute Engine. The applications have been deployed in production, acceptance, and development environments. The production environment is business-critical and is used 24/7, while the acceptance and development environments are only critical during office hours.
Your CFO has asked you to optimize these environments to achieve cost savings during idle times. What should you do?
- A. Use regular Compute Engine instances for the production environment, and use preemptible VMs for the acceptance and development environments.
- B. Use Cloud Scheduler to trigger a Cloud Function that will stop the development and acceptance environments after office hours and start them just before office hours.
- C. Deploy the development and acceptance applications on a managed instance group and enable autoscaling.
- D. Create a shell script that uses the gcloud command to change the machine type of the development and acceptance instances to a smaller machine type outside of office hours. Schedule the shell script on one of the production instances to automate the task.
Answer: A
Explanation:
Reference: https://cloud.google.com/blog/products/it-ops/best-practices-for-optimizing-your-cloud-costs
NEW QUESTION 118
......
Introduction to Google Professional Cloud Architect Exam
Google Professional Cloud Architect Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud Architect in the IT industry.
After passing this exam, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud Architect to their clients and employers.
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