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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Setting up a cloud solution environment | 20% | - Setting up cloud projects and accounts - Managing billing and identity access |
| Topic 2: Deploying and implementing a cloud solution | 20% | - Deploying applications and services - Implementing networking components |
| Topic 3: Configuring access and security | 15% | - Managing IAM roles and permissions - Securing data and services |
| Topic 4: Planning and configuring a cloud solution | 25% | - Configuring storage and database solutions - Configuring compute resources |
| Topic 5: Ensuring successful operation of a cloud solution | 20% | - Managing cloud resources - Monitoring and logging |
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NEW QUESTION # 342
You have a web application deployed as a managed instance group. You have a new version of the application to gradually deploy. Your web application is currently receiving live web traffic.
You want to ensure that the available capacity does not decrease during the deployment. What should you do?
Answer: B
NEW QUESTION # 343
You need to configure optimal data storage for files stored in Cloud Storage for minimal cost. The files are used in a mission-critical analytics pipeline that is used continually. The users are in Boston, MA (United States). What should you do?
Answer: D
Explanation:
Explanation
Keywords: - continually -> Standard - mission-critical analytics -> dual-regional
NEW QUESTION # 344
After a recent security incident, your startup company wants better insight into what is happening in the Google Cloud environment. You need to monitor unexpected firewall changes and instance creation. Your company prefers simple solutions. What should you do?
Answer: C
Explanation:
This answer is the simplest and most effective way to monitor unexpected firewall changes and instance creation in Google Cloud. Cloud Logging filters allow you to specify the criteria for the log entries that you want to view or export. You can use the Logging query language to write filters based on the LogEntry fields, such as resource.type, severity, or protoPayload.methodName. For example, you can filter for firewall-related events by using the following query:
resource.type="gce_subnetwork"
logName="projects/PROJECT_ID/logs/compute.googleapis.com%2Ffirewall"
You can filter for instance-related events by using the following query:
resource.type="gce_instance"
logName="projects/PROJECT_ID/logs/compute.googleapis.com%2Factivity_log" You can create log-based metrics from these filters to measure the rate or count of log entries that match the filter. Log-based metrics can be used to create charts and dashboards in Cloud Monitoring, or to set up alerts based on the metric values. For example, you can create an alert policy that triggers when the log-based metric for firewall changes exceeds a certain threshold in a given time interval. This way, you can get notified of any unexpected or malicious changes to your firewall rules.
Option B is incorrect because it is unnecessarily complex and costly. Installing Kibana on a compute instance requires additional configuration and maintenance. Creating a log sink to forward Cloud Audit Logs to Pub/Sub also incurs additional charges for the Pub/Sub service. Analyzing the logs on Kibana in real time may not be feasible or efficient, as it requires constant monitoring and manual intervention.
Option C is incorrect because Google Cloud firewall rules logging is a different feature from Cloud Audit Logs. Firewall rules logging allows you to audit, verify, and analyze the effects of your firewall rules by creating connection records for each rule that applies to traffic. However, firewall rules logging does not log the insert, update, or delete events for the firewall rules themselves. Those events are logged by Cloud Audit Logs, which record the administrative activities in your Google Cloud project.
Option D is incorrect because it is not a real-time solution. Creating a log sink to forward Cloud Audit Logs to Cloud Storage requires additional storage space and charges. Using BigQuery to periodically analyze log events in the storage bucket also incurs additional costs for the BigQuery service. Moreover, this option does not provide any alerting mechanism to notify you of any unexpected or malicious changes to your firewall rules or instances.
NEW QUESTION # 345
You have deployed an application on a Compute Engine instance. An external consultant needs to access the Linux-based instance. The consultant is connected to your corporate network through a VPN connection, but the consultant has no Google account. What should you do?
Answer: A
Explanation:
The best option is to instruct the external consultant to generate an SSH key pair, and request the public key from the consultant. Then, add the public key to the instance yourself, and have the consultant access the instance through SSH with their private key. This way, you can grant the consultant access to the instance without requiring a Google account or exposing the instance's public IP address. This option also follows the best practice of using user-managed SSH keys instead of service account keys for SSH access1.
Option A is not feasible because the external consultant does not have a Google account, and therefore cannot use Identity-Aware Proxy (IAP) to access the instance. IAP requires the user to authenticate with a Google account and have the appropriate IAM permissions to access the instance2. Option B is not secure because it exposes the instance's public IP address, which can increase the risk of unauthorized access or attacks. Option D is not correct because it reverses the roles of the public and private keys. The public key should be added to the instance, and the private key should be kept by the consultant. Sharing the private key with anyone else can compromise the security of the SSH connection3.
References:
* 1: https://cloud.google.com/compute/docs/instances/adding-removing-ssh-keys
* 2: https://cloud.google.com/iap/docs/using-tcp-forwarding
* 3: https://cloud.google.com/compute/docs/instances/connecting-advanced#sshbetweeninstances
NEW QUESTION # 346
Users of your application are complaining of slowness when loading the application. You realize the slowness is because the App Engine deployment serving the application is deployed in us-central whereas all users of this application are closest to europe-west3. You want to change the region of the App Engine application to europe-west3 to minimize latency. What's the best way to change the App Engine region?
Answer: B
Explanation:
App engine is a regional service, which means the infrastructure that runs your app(s) is located in a specific region and is managed by Google to be redundantly available across all the zones within that region. Once an app engine deployment is created in a region, it cant be changed. The only way is to create a new project and create an App Engine instance in europe-west3, send all user traffic to this instance and delete the app engine instance in us-central.
Ref: https://cloud.google.com/appengine/docs/locations
NEW QUESTION # 347
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