Associate-Cloud-Engineer Questions [2026] - Google Associate-Cloud-Engineer Exam Dumps

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Setting up a cloud solution environment	20%	- Managing billing and identity access - Setting up cloud projects and accounts
Deploying and implementing a cloud solution	20%	- Implementing networking components - Deploying applications and services
Configuring access and security	15%	- Securing data and services - Managing IAM roles and permissions
Planning and configuring a cloud solution	25%	- Configuring storage and database solutions - Configuring compute resources
Ensuring successful operation of a cloud solution	20%	- Managing cloud resources - Monitoring and logging

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Google Associate Cloud Engineer Exam Sample Questions (Q239-Q244):

NEW QUESTION # 239
You are working with a user to set up an application in a new VPC behind a firewall. The user is concerned about data egress. You want to configure the fewest open egress ports. What should you do?

A. Set up a low-priority (65534) rule that blocks all egress and a high-priority rule (1000) that allows only the appropriate ports.
B. Set up a high-priority (1000) rule that blocks all egress and a low-priority (65534) rule that allows only the appropriate ports.
C. Set up a high-priority (1000) rule to allow the appropriate ports.
D. Set up a high-priority (1000) rule that pairs both ingress and egress ports.

Answer: A

Explanation:
Implied rules Every VPC network has two implied firewall rules. These rules exist, but are not shown in the Cloud Console: Implied allow egress rule. An egress rule whose action is allow, destination is 0.0.0.0/0, and priority is the lowest possible (65535) lets any instance send traffic to any destination, except for traffic blocked by Google Cloud. A higher priority firewall rule may restrict outbound access. Internet access is allowed if no other firewall rules deny outbound traffic and if the instance has an external IP address or uses a Cloud NAT instance. For more information, see Internet access requirements. Implied deny ingress rule. An ingress rule whose action is deny, source is 0.0.0.0/0, and priority is the lowest possible (65535) protects all instances by blocking incoming connections to them. A higher priority rule might allow incoming access. The default network includes some additional rules that override this one, allowing certain types of incoming connections. https://cloud.google.com/vpc/docs/firewalls#default_firewall_rules

NEW QUESTION # 240
You are building an application that stores relational data from users. Users across the globe will use this application. Your CTO is concerned about the scaling requirements because the size of the user base is unknown. You need to implement a database solution that can scale with your user growth with minimum configuration changes. Which storage solution should you use?

A. Cloud Firestore
B. Cloud Spanner
C. Cloud Datastore
D. Cloud SQL

Answer: B

Explanation:
Cloud Spanner is a relational database and is highly scalable. Cloud Spanner is a highly scalable, enterprise- grade, globally-distributed, and strongly consistent database service built for the cloud specifically to combine the benefits of relational database structure with a non-relational horizontal scale. This combination delivers high-performance transactions and strong consistency across rows, regions, and continents with an industry- leading 99.999% availability SLA, no planned downtime, and enterprise-grade security Ref: https://cloud.google.com/spanner Graphical user interface, application, Teams Description automatically generated

NEW QUESTION # 241
Users submit requests to a service that takes several minutes to process. A Solutions Architect needs to ensure that these requests are processed at least once, and that the service has the ability to handle large increases in the number of requests.
How should these requirements be met?

A. Put the requests into an Amazon SQS queue and configure Amazon EC2 instances to poll the queue
B. Use Amazon S3 to store the requests and configure an event notification to have Amazon EC2 instances process the new object
C. Save the requests to an Amazon DynamoDB table with a DynamoDB stream that triggers an Amazon EC2 Spot Instance
D. Publish the message to an Amazon SNS topic that an Amazon EC2 subscriber can receive and process

Answer: A

NEW QUESTION # 242
You are hosting an application on bare-metal servers in your own data center. The application needs access to Cloud Storage. However, security policies prevent the servers hosting the application from having public IP addresses or access to the internet. You want to follow Google- recommended practices to provide the application with access to Cloud Storage. What should you do?

A. 1. Use Migrate for Compute Engine (formerly known as Velostrata) to migrate those servers to Compute Engine.
2. Create an internal load balancer (ILB) that uses storage.googleapis.com as backend.
3. Configure your new instances to use this ILB as proxy.
B. 1. Use nslookup to get the IP address for storage.googleapis.com.
2. Negotiate with the security team to be able to give a public IP address to the servers.
3. Only allow egress traffic from those servers to the IP addresses for storage.googleapis.com.
C. 1. Using Cloud VPN, create a VPN tunnel to a Virtual Private Cloud (VPC) in Google Cloud Platform (GCP).
2. In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance.
3. Configure your servers to use that instance as a proxy to access Cloud Storage.
D. 1. Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP.
2. Use Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.
3. In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com.

Answer: D

Explanation:
https://cloud.google.com/vpc/docs/configure-private-google-access-hybrid

NEW QUESTION # 243
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around 2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
B. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
C. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
D. Select Compute Engine. Use VM instance types that support micro bursting.

Answer: C

Explanation:
If your apps are fault-tolerant and can withstand possible instance preemptions, then preemptible instances can reduce your Compute Engine costs significantly. For example, batch processing jobs can run on preemptible instances. If some of those instances stop during processing, the job slows but does not completely stop. Preemptible instances complete your batch processing tasks without placing additional workload on your existing instances and without requiring you to pay full price for additional normal instances.
https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION # 244
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