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[General] Google Associate-Cloud-Engineer Exam Introduction & Associate-Cloud-Engineer

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【General】 Google Associate-Cloud-Engineer Exam Introduction & Associate-Cloud-Engineer

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Google Associate Cloud Engineer Exam Sample Questions (Q19-Q24):NEW QUESTION # 19
You've deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?
  • A. Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.
  • B. Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.
  • C. Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.
  • D. Store the database password inside the Docker image of the container, not in the YAML file.
Answer: A
Explanation:
https://cloud.google.com/config- ... w-to/secrets#gcloud

NEW QUESTION # 20
You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-system namespace of the cluster. You want a solution that uses the fewest possible services. What should you do?
  • A. With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.
  • B. In the cluster's definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.
  • C. Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.
  • D. Add the cluster's API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.
Answer: D
Explanation:
Explanation
Adding an API as a type provider
This page describes how to add an API to Google Cloud Deployment Manager as a type provider. To learn more about types and type providers, read the Types overview documentation.
A type provider exposes all of the resources of a third-party API to Deployment Manager as base types that you can use in your configurations. These types must be directly served by a RESTful API that supports Create, Read, Update, and Delete (CRUD).
If you want to use an API that is not automatically provided by Google with Deployment Manager, you must add the API as a type provider.
https://cloud.google.com/deploym ... ating-type-provider

NEW QUESTION # 21
Your customer has implemented a solution that uses Cloud Spanner and notices some read latency-related performance issues on one table. This table is accessed only by their users using a primary key. The table schema is shown below.

You want to resolve the issue. What should you do?
  • A. Change the primary key to not have monotonically increasing values.
  • B. Add a secondary index on the person_id column.
  • C. Remove the profile_picture field from the table.
  • D. Create a secondary index using the following Data Definition Language (DDL):

Answer: D

NEW QUESTION # 22
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. 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.
  • 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. 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.
  • D. 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.
Answer: A
Explanation:
Our requirement is to follow Google recommended practices to achieve the end result. Configuring Private Google Access for On-Premises Hosts is best achieved by VPN/Interconnect + Advertise Routes + Use restricted Google IP Range.
Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP
Using 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.
In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com is the right answer right, and it is what Google recommends.
Ref: https://cloud.google.com/vpc/doc ... oogle-access-hybrid You must configure routes so that Google API traffic is forwarded through your Cloud VPN or Cloud Interconnect connection, firewall rules on your on-premises firewall to allow the outgoing traffic, and DNS so that traffic to Google APIs resolves to the IP range youve added to your routes.
You can use Cloud Router Custom Route Advertisement to announce the Restricted Google APIs IP addresses through Cloud Router to your on-premises network. The Restricted Google APIs IP range is 199.36.153.4/30. While this is technically a public IP range, Google does not announce it publicly. This IP range is only accessible to hosts that can reach your Google Cloud projects through internal IP ranges, such as through a Cloud VPN or Cloud Interconnect connection. Without having a public IP address or access to the internet, the only way you could connect to cloud storage is if you have an internal route to it.
So Negotiate with the security team to be able to give public IP addresses to the servers is not right. Following Google recommended practices is synonymous with using Googles services (Not quite, but it is at least for the exam !!).
So In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance is not right.
Migrating the VM to Compute Engine is a bit drastic when Google says it is perfectly fine to have Hybrid Connectivity architectures https://cloud.google.com/hybrid-connectivity.
So,
Use Migrate for Compute Engine (formerly known as Velostrata) to migrate these servers to Compute Engine is not right.

NEW QUESTION # 23
You created several resources in multiple Google Cloud projects. All projects are linked to different billing accounts. To better estimate future charges, you want to have a single visual representation of all costs incurred. You want to include new cost data as soon as possible. What should you do?
  • A. Use the Reports view in the Cloud Billing Console to view the desired cost information.
  • B. Configure Billing Data Export to BigQuery and visualize the data in Data Studio.
  • C. Visit the Cost Table page to get a CSV export and visualize it using Data Studio.
  • D. Fill all resources in the Pricing Calculator to get an estimate of the monthly cost.
Answer: B

NEW QUESTION # 24
......
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