Online Access Free Professional-Cloud-DevOps-Engineer Practice Test

Your Cloud Run application writes unstructured logs as text strings to Cloud Logging. You want to convert the unstructured logs to JSON-based structured logs. What should you do?

• A.Install the log agent in the Cloud Run container image, and use the log agent to forward logs to Cloud Logging.
• B.A Install a Fluent Bit sidecar container, and use a JSON parser.
• C.Modify the application to use Cloud Logging software development kit (SDK), and send log entries with a jsonPay10ad field.
• D.Configure the log agent to convert log text payload to JSON payload.

You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

• A.Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.
• B.Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.
• C.In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
• D.Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.

You support a high-traffic web application and want to ensure that the home page loads in a timely manner.
As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

• A.Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
• B.Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
• C.Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.
• D.Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.

You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?

• A.Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
• B.Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a tog exclusion with userinfo as a filter.
• C.Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.
• D.Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

You support the backend of a mobile phone game that runs on a Google Kubernetes Engine (GKE) cluster.
The application is serving HTTP requests from users. You need to implement a solution that will reduce the network cost. What should you do?

• A.Configure the VPC as a Shared VPC Host project.
• B.Configure a Google Cloud HTTP Load Balancer as Ingress.
• C.Configure your Kubernetes duster as a Private Cluster.
• D.Configure your network services on the Standard Tier.