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Google Associate-Cloud-Engineer Certification Exam is a valuable credential for IT professionals who want to demonstrate their expertise in cloud computing and GCP technologies. Google Associate Cloud Engineer Exam certification can help you stand out in a competitive job market and increase your earning potential. By passing the exam, you will become a certified Google Associate Cloud Engineer, demonstrating to potential employers that you have the skills and knowledge needed to deploy and manage cloud-based solutions on Google Cloud Platform.

Deploying & Implementing Cloud Solutions

  • Deploy and implement Google Kubernetes Engine Resources: this domain includes skills in deploying Google Kubernetes Engine cluster, container application to Google Kubernetes Engine with pods, and configuring Google Kubernetes Engine Application logging and monitoring;
  • Deploy and implement data solutions: the applicants should be able to initialize data systems with Google products and load data;
  • Deploy solutions with Cloud Marketplace: the candidates must demonstrate the ability to browse the Cloud Marketplace catalog to check solution details; deploy Cloud Marketplace solutions;
  • Deploy and implement networking resources: this will measure your ability to launch Compute Engine instances using custom network configuration; create egress and ingress firewall rule or VPC; create VPNs between the external network and Google VPC with Cloud VPN; create the load balancer to allocate the application network traffic for apps;
  • Deploy an application infrastructure with Cloud Deployment Manager with a focus on the development and launch of Deployment Manager templates.

How can you get ready for Associate Cloud Engineer Certification Exam

There is a study guide for Associate Cloud Engineer Certification Exam

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This exam is well recognized as Associate Cloud Engineer, like all examinations, Google has some freedom to examine a variety of topics. This means that most of the contents of Associate Cloud Engineer are necessary as they perform random tests on the many available topics. Also keep in mind that experience conditions often exist because they observed the average person and what is needed. You can always go further to succeed with the Associate Cloud Engineer, but it can take some extra effort.The exam objectives are strange for each exam and are usually provided by the certification provider. These normally indicate to the candidate which subjects are relevant, what he should know and why the exam tries to cover these subjects. It is necessary to find them out for your precise exam. This can be found on almost all provider websites and reports a lot like studies.Staying focused on studying can be difficult, but take it in mind that the best jobs in the world are only several tests away. Regardless of whether you enter cybersecurity or do a basic level technical job, certification is a clear, learning and rewarding path for careers that pay a LOT of money. They offer a better balance between professional and private life and can get in touch with some of the leaders in the business world.The Google Associate Cloud Engineer certification exam is of paramount importance both in professional life and in the Google certification process. With Google certification, you can easily get a good job in the market and move towards success. Specialists who have successfully finished the Google Associate Cloud Engineer exam preparation are the absolute favorites in the industry. You will pass the Google Associate Cloud Engineer certification exam and have career chances.In this advanced age, getting an excellent Google certification exam has become more necessary for Google specialists. If we examine the world of IT credentials, we will find many certified exams, but the truth is that Google Associate Cloud Engineer certification is above all the credentials available in the IT profession. The Google certification is one of the best ways to increase value in the IT world. You want to know why? The Associate Cloud Engineer exam module was recently presented by Google and has attracted the attention of many Google ACE professionals and aspiring people who wish to increase their credibility in the market.

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Google Associate Cloud Engineer Exam Sample Questions (Q233-Q238):

NEW QUESTION # 233
Your customer wants you to create a secure website with autoscaling based on the compute instance CPU load. You want to enhance performance by storing static content in Cloud Storage. Which resources are needed to distribute the user traffic?

  • A. An external HTTP(S) load balancer to distribute the load and a URL map to target the requests for the static content to the Cloud Storage backend. Install the HTTPS certificates on the instance.
  • B. An external network load balancer pointing to the backend instances to distribute the load evenly. The web servers will forward the request to the Cloud Storage as needed.
  • C. An external HTTP(S) load balancer with a managed SSL certificate to distribute the load and a URL map to target the requests for the static content to the Cloud Storage backend.
  • D. An internal HTTP(S) load balancer together with Identity-Aware Proxy to allow only HTTPS traffic.

Answer: C

Explanation:
An external HTTP(S) load balancer is a Google-recommended solution for distributing web traffic across multiple regions and zones, and providing high availability, scalability, and security for web applications. It supports both IPv4 and IPv6 addresses, and can handle SSL/TLS termination and encryption. It also integrates with Cloud CDN, Cloud Armor, and Cloud Identity-Aware Proxy for enhanced performance and protection. A managed instance group (MIG) can be used as a backend service for the HTTP(S) load balancer, and can automatically scale the number of VM instances based on the CPU load. A Cloud Storage bucket can also be used as a backend service for the HTTP(S) load balancer, and can serve static content such as images, videos, or HTML files. A URL map can be used to route requests to different backend services based on the path or host of the request. For example, a URL map can send requests for /static/* to the Cloud Storage bucket, and requests for /dynamic/* to the MIG. A managed SSL certificate can be used to secure the connection between the clients and the load balancer, and can be automatically provisioned and renewed by Google.
A is incorrect because an internal HTTP(S) load balancer is only visible within a VPC network, and not to the public internet. It is used for internal applications that need to communicate with other internal services. Identity-Aware Proxy is a service that provides secure access to web applications without using a VPN. It is not a load balancer, and it does not distribute user traffic.
B is incorrect because installing HTTPS certificates on the instance is not necessary, as the HTTP(S) load balancer can handle SSL/TLS termination and encryption. It is also more complex and less secure to manage the certificates on the instance level, as they need to be updated and synchronized across multiple instances.
D is incorrect because an external network load balancer is a TCP/UDP load balancer that operates at the network layer. It is not suitable for web applications that use HTTP(S) protocols, as it does not support SSL/TLS termination and encryption, URL maps, or Cloud Storage backends. It is also less efficient and scalable to forward the requests to the Cloud Storage from the web servers, as it adds an extra hop and latency.
Reference:
HTTP(S) Load Balancing documentation
Setting up HTTP(S) Load Balancing with Cloud Storage
Creating and using SSL certificates
Choosing a load balancer


NEW QUESTION # 234
A Solutions Architect is designing the architecture for a new three-tier web-based e-commerce site that must be available 24/7. Requests are expected to range from 100 to 10,000 each minute. Usage can vary depending on time of day, holidays, and promotions. The design should be able to handle these volumes, with the ability to handle higher volumes if necessary.
How should the Architect design the architecture to ensure the web tier is cost-optimized and can handle the expected traffic? (Choose two.)

  • A. Store all static files in a multi-AZ Amazon Aurora database.
  • B. Create an CloudFront distribution pointing to static content in Amazon S3.
  • C. Launch Amazon EC2 instances in an Auto Scaling group behind an ELB.
  • D. Use Amazon Route 53 to route traffic to the correct region.
  • E. Use Amazon S3 multi-part uploads to improve upload times.

Answer: B,C


NEW QUESTION # 235
Your company has a 3-tier solution running on Compute Engine. The configuration of the current infrastructure is shown below.

Each tier has a service account that is associated with all instances within it. You need to enable communication on TCP port 8080 between tiers as follows:
* Instances in tier #1 must communicate with tier #2.
* Instances in tier #2 must communicate with tier #3.
What should you do?

  • A. 1. Create an egress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.2.0/24)* Protocols: allow TCP: 80802. Create an egress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to
    10.0.1.0/24)* Protocols: allow TCP: 8080
  • B. 1. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #2 service account* Source filter: all instances with tier #1 service account* Protocols: allow all2. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #3 service account* Source filter: all instances with tier #2 service account* Protocols: allow all
  • C. 1. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #2 service account* Source filter: all instances with tier #1 service account* Protocols: allow TCP:80802. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #3 service account* Source filter: all instances with tier #2 service account* Protocols: allow TCP: 8080
  • D. 1. Create an ingress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.2.0/24)* Protocols: allow all2. Create an ingress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.1.0/24)* Protocols: allow all

Answer: C

Explanation:
Explanation
1. Create an ingress firewall rule with the following settings: "¢ Targets: all instances with tier #2 service account "¢ Source filter: all instances with tier #1 service account "¢ Protocols: allow TCP:8080 2. Create an ingress firewall rule with the following settings: "¢ Targets: all instances with tier #3 service account "¢ Source filter: all instances with tier #2 service account "¢ Protocols: allow TCP: 8080


NEW QUESTION # 236
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

  • A. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
  • B. The pending Pod's resource requests are too large to fit on a single node of the cluster.
  • C. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.
  • D. The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.

Answer: C

Explanation:
* The pending Pods resource requests are too large to fit on a single node of the cluster. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod. is the right answer.
* When you have a deployment with some pods in running and other pods in the pending state, more often than not it is a problem with resources on the nodes. Heres a sample output of this use case. We see that the problem is with insufficient CPU on the Kubernetes nodes so we have to either enable auto-scaling or manually scale up the nodes.


NEW QUESTION # 237
Your company is moving its entire workload to Compute Engine. Some servers should be accessible through the Internet, and other servers should only be accessible over the internal network. All servers need to be able to talk to each other over specific ports and protocols. The current on-premises network relies on a demilitarized zone (DMZ) for the public servers and a Local Area Network (LAN) for the private servers. You need to design the networking infrastructure on Google Cloud to match these requirements. What should you do?

  • A. 1. Create a single VPC with a subnet for the DMZ and a subnet for the LAN. 2. Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public ingress traffic for the DMZ.
  • B. 1. Create a VPC with a subnet for the DMZ and another VPC with a subnet for the LAN. 2. Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public egress traffic for the DMZ.
  • C. 1. Create a VPC with a subnet for the DMZ and another VPC with a subnet for the LAN. 2. Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public ingress traffic for the DMZ.
  • D. 1. Create a single VPC with a subnet for the DMZ and a subnet for the LAN. 2. Set up firewall rules to open up relevant traffic between the DMZ and the LAN subnets, and another firewall rule to allow public egress traffic for the DMZ.

Answer: C

Explanation:
https://cloud.google.com/vpc/docs/vpc-peering


NEW QUESTION # 238
......

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