100% PASS RATE Google Cloud Certified Professional-Cloud-Architect Certified Exam DUMP with 262 Questions
Updates For the Latest Professional-Cloud-Architect Free Exam Study Guide!
Google Professional-Cloud-Architect Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
| Topic 5 |
|
| Topic 6 |
|
NEW QUESTION # 106
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. /usr/local/bin
- B. Cloud Storage
- C. ~/bin
- D. /google/scripts
Answer: C
NEW QUESTION # 107
Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on-premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible.
Which cloud infrastructure should you recommend?
- A. Google Compute Engine unmanaged instance groups and Network Load Balancer
- B. Google App Engine with Google StackDriver for logging
- C. Google Compute Engine managed instance groups with auto-scaling
- D. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Google Compute Engine enables users to launch virtual machines (VMs) on demand. VMs can be launched from the standard images or custom images created by users.
Managed instance groups offer autoscaling capabilities that allow you to automatically add or remove instances from a managed instance group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower.
Incorrect Answers:
B: There is no mention of incoming IP data traffic for the custom C++ applications.
C: Apache Hadoop is not fit for testing C++ applications. Apache Hadoop is an open-source software framework used for distributed storage and processing of datasets of big data using the MapReduce programming model.
D: Google App Engine is intended to be used for web applications.
Google App Engine (often referred to as GAE or simply App Engine) is a web framework and cloud computing platform for developing and hosting web applications in Google-managed data centers.
References: https://cloud.google.com/compute/docs/autoscaler/
NEW QUESTION # 108
The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?
- A. Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.
- B. Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.
- C. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
- D. Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
Answer: B
Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-cluster
NEW QUESTION # 109
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?
- A. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
- B. Container Engine, Cloud Pub/Sub, and Cloud SQL
- C. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
- D. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
- E. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
Answer: E
Explanation:
A real time requires Stream / Messaging so Pub/Sub, Analytics by Big Query.
NEW QUESTION # 110
Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.
What should you do?
- A. Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other
- B. Configure the quotas for resources in the regions not being used to 0.
- C. Configure IAM conditions to limit what resources can be configured.
- D. Configure an organizational policy which constrains where resources can be deployed.
Answer: B
Explanation:
regions.
NEW QUESTION # 111
Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a
99.99% availability SLA under these conditions However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?
- A. Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones.
- B. Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones.
- C. Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also, derive estimated number of users based on existing users usage of the app, and deploy enough resources to handle 200% of expected load.
- D. Expose the new system to a larger group of users, and increase group ' size each day until autoscale logic is tnggered on all layers. At the same time, terminate random resources on both zones.
Answer: C
NEW QUESTION # 112
For this question, refer to the TerramEarth case study.
The TerramEarth development team wants to create an API to meet the company's business requirements. You want the development team to focus their development effort on business value versus creating a custom framework. Which method should they use?
- A. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.
- B. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.
- C. Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.
- D. Use Google Container Engine with a Django Python container. Focus on an API for the public.
- E. Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.
Answer: A
Explanation:
Explanation
https://cloud.google.com/endpoints/docs/openapi/about-cloud-endpoints?hl=en_US&_ga=2.21787131.-1712523
https://cloud.google.com/endpoints/docs/openapi/architecture-overview
https://cloud.google.com/storage/docs/gsutil/commands/test
Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development.
From scenario:
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 to 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.
Reference: https://cloud.google.com/certification/guides/cloud-architect/casestudy-terramearth
Topic 2, 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 # 113
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 Stackdriver Monitoring to create a dashboard on the project's activity.
- B. Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.
- C. Use Stackdriver Trace to create a trace list analysis.
- D. Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.
Answer: D
Explanation:
Explanation
https://cloud.google.com/logging/docs/audit/
NEW QUESTION # 114
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. Google BigQuery
- B. Cloud Spanner
- C. Google Cloud SQL
- D. Google Cloud Datastore
Answer: D
Explanation:
https://cloud.google.com/datastore/docs/concepts/overview
Common workloads for Google Cloud Datastore:
* User profiles
* Product catalogs
* Game state
References:
https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview
NEW QUESTION # 115
You want to enable your running Google Kubernetes Engine cluster to scale as demand for your application changes.
What should you do?
- A. Add a tag to the instances in the cluster with the following command:gcloud compute instances add-tagsINSTANCE - -tags enable-autoscaling max-nodes-10
- B. Create a new Kubernetes Engine cluster with the following command:gcloud alpha container clusterscreate mycluster - -enable-autoscaling - -min-nodes=1 - -max-nodes=10and redeploy your application
- C. Update the existing Kubernetes Engine cluster with the following command:gcloud alpha container clustersupdate mycluster - -enable-autoscaling - -min-nodes=1 - -max-nodes=10
- D. Add additional nodes to your Kubernetes Engine cluster using the following command:gcloud container clusters resizeCLUSTER_Name - -size 10
Answer: C
Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler To enable autoscaling for an existing node pool, run the following command:
gcloud container clusters update [CLUSTER_NAME] --enable-autoscaling \ --min-nodes 1 --max-nodes 10 --zone [COMPUTE_ZONE] --node-pool default-pool
NEW QUESTION # 116
You are implementing a single Cloud SQL MySQL second-generation database that contains business-critical transaction dat a. You want to ensure that the minimum amount of data is lost in case of catastrophic failure. Which two features should you implement? (Choose two.)
- A. Read replicas
- B. Binary logging
- C. Automated backups
- D. Semisynchronous replication
- E. Sharding
Answer: B,C
Explanation:
Backups help you restore lost data to your Cloud SQL instance. Additionally, if an instance is having a problem, you can restore it to a previous state by using the backup to overwrite it. Enable automated backups for any instance that contains necessary data. Backups protect your data from loss or damage.
Enabling automated backups, along with binary logging, is also required for some operations, such as clone and replica creation.
NEW QUESTION # 117
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours.
Not all users have a Google Account. How should you have users upload images?
- A. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.
- B. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.
- C. Create an App Engine web application where users can upload images for the next 24 hours.
Authenticate users via Cloud Identity. - D. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after
24 hours.
Answer: B
NEW QUESTION # 118
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google- recommended tool for such applications?
- A. Cloud Firestore, because it offers real-time synchronization across devices
- B. Cloud Spanner, because it is globally distributed
- C. Cloud SQL, because it is a fully managed relational database
- D. BigQuery, because it is designed for large-scale processing of tabular data
Answer: D
Explanation:
Because this requires a relational database
https://cloud.google.com/files/BigQueryTechnicalWP.pdf
BigQuery is relational database and suport OLAP
Cloud Spanner OLTP
NEW QUESTION # 119
You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?
- A. Create a Cloud Filestore instance and mount it in each instance.
- B. Use a regional persistent disk for each instance.
- C. Use a persistent disk for each instance.
- D. Create a Cloud Storage bucket and mount it in each instance using gcsfuse.
Answer: A
Explanation:
https://cloud.google.com/storage/docs/gcs-fuse#notes
Cloud Filestore: Cloud Filestore is a scalable and highly available shared file service fully managed by Google. Cloud Filestore provides persistent storage ideal for shared workloads. It is best suited for enterprise applications requiring persistent, durable, shared storage which is accessed by NFS or requires a POSIX compliant file system.
NEW QUESTION # 120
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department. Which two steps should you take? Choose 2 answers
- A. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM.
- B. Store all state into local SSD, snapshot the persistent disks, and terminate the VM.
- C. Use the -auto-delete flag on all persistent disks and terminate the VM.
- D. Use Google BigQuery billing export and labels to associate cost to groups.
- E. Use the --no-auto-delete flag on all persistent disks and stop the VM.
- F. Apply VM CPU utilization label and include it in the BigQuery billing export.
Answer: D,E
Explanation:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery
NEW QUESTION # 121
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month.
- A. Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the required information.
- B. Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.
- C. In the BigQuery interface, execute a query on the JOBS table to get the required information.
- D. Use `bq show' to list all jobs. Per job, use `bq Is' to list job information and get the required information.
Answer: A
Explanation:
https://cloud.google.com/bigquery/docs/access-control
NEW QUESTION # 122
Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99.99% availability SLA under these conditions However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?
- A. Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones.
- B. Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones.
- C. Expose the new system to a larger group of users, and increase group ' size each day until autoscale logic is tnggered on all layers. At the same time, terminate random resources on both zones.
- D. Capture existing users input, and replay captured user load until resource utilization crosses 80%.
Also, derive estimated number of users based on existing users usage of the app, and deploy enough resources to handle 200% of expected load.
Answer: D
NEW QUESTION # 123
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. Take a snapshot of the disk and connect to a new machine to investigate
- B. Delete the virtual machine (VM) and disks and create a new one
- C. Check inbound firewall rules for the network the machine is connected to
- D. Delete the instance, attach the disk to a new VM, and investigate
- 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
Answer: A,C,F
Explanation:
Explanation/Reference:
Explanation:
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.
References:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser
NEW QUESTION # 124
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
* 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 wants to move their User Profiles database to Google Cloud Platform.
Which Google Database should they use?
- A. Google BigQuery
- B. Cloud Spanner
- C. Google Cloud SQL
- D. Google Cloud Datastore
Answer: D
Explanation:
Common workloads for Google Cloud Datastore:
User profiles
Product catalogs
Game state
References: https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview
NEW QUESTION # 125
You are designing an application for use only during business hours. For the minimum viable product release, you'd like to use a managed product that automatically "scales to zero" so you don't incur costs when there is no activity.
Which primary compute resource should you choose?
- A. AppEngine flexible environment
- B. Kubernetes Engine
- C. Cloud Functions
- D. Compute Engine
Answer: C
Explanation:
Explanation
https://cloud.google.com/serverless-options
NEW QUESTION # 126
Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis. What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?
- A. Encrypt all data using elliptic curve cryptography
- B. Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers
- C. De-identify the data with the Cloud Data Loss Prevention API
- D. Hash all data using SHA256
Answer: C
NEW QUESTION # 127
Your organization wants to control IAM policies for different departments independently, but centrally.
Which approach should you take?
- A. A single Organization with multiple projects, each with a central owner
- B. Multiple Organizations with multiple Folders
- C. Multiple Organizations, one for each department
- D. A single Organization with Folders for each department
Answer: D
Explanation:
Folders are nodes in the Cloud Platform Resource Hierarchy. A folder can contain projects, other folders, or a combination of both. You can use folders to group projects under an organization in a hierarchy. For example, your organization might contain multiple departments, each with its own set of GCP resources. Folders allow you to group these resources on a per-department basis. Folders are used to group resources that share common IAM policies. While a folder can contain multiple folders or resources, a given folder or resource can have exactly one parent.
Reference: https://cloud.google.com/resource-manager/docs/creating-managing-folders
NEW QUESTION # 128
For this question, refer to the JencoMart case study.
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy should you recommend?
- A. Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).
- B. Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.
- C. Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs
- D. Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.
Answer: A
Explanation:
https://cloud.google.com/iam/docs/understanding-service-accounts
Migrating data to Google Cloud Platform
Let's say that you have some data processing that happens on another cloud provider and you want to transfer the processed data to Google Cloud Platform. You can use a service account from the virtual machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create and download a service account key when you create the service account and then use that key from the external process to call the Cloud Platform APIs.
References:
https://cloud.google.com/iam/docs/understanding-service-accounts#migrating_data_to_google_cloud_platform
NEW QUESTION # 129
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)
- A. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
- B. Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.
- C. Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
- D. Begin packaging their game backend artifacts in container images and running them on Kubernetes Engine to improve the availability to scale up or down based on game activity.
- E. Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.
Answer: A,E
Explanation:
Explanation/Reference:
NEW QUESTION # 130
......
The Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Exam is a certification exam offered by Google Cloud that is designed to assess and validate the skills and knowledge of individuals in designing and implementing cloud architecture solutions. The exam is aimed at professionals who are interested in becoming certified Google Cloud Architects and who possess a strong understanding of cloud computing, networking, and security concepts.
Best Professional-Cloud-Architect Exam Preparation Material with New Dumps Questions https://pass4sure.verifieddumps.com/Professional-Cloud-Architect-valid-exam-braindumps.html
