Your company sends all Google Cloud logs to Cloud Logging. Your security team wants to monitor the logs. You want to ensure that the security team can react quickly if an anomaly such as an unwanted firewall change or server breach is detected. You want to follow Google-recommended practices. What should you do?
A. Schedule a cron job with Cloud Scheduler. The scheduled job queries the logs every minute for the relevant events.
B. Export logs to BigQuery, and trigger a query in BigQuery to process the log data for the relevant events.
C. Export logs to a Pub/Sub topic, and trigger Cloud Function with the relevant log events.
D. Export logs to a Cloud Storage bucket, and trigger Cloud Run with the relevant log events.
You are implementing a single Cloud SQL MySQL second-generation database that contains business-critical transaction data. You want to ensure that the minimum amount of data is lost in case of catastrophic failure. Which two features should you implement? (Choose two.)
A. Sharding
B. Read replicas
C. Binary logging
D. Automated backups
E. Semisynchronous replication
You are working with a data warehousing team that performs data analysis. The team needs to process data from external partners, but the data contains personally identifiable information (PlI). You need to process and store the data without
storing any of the Pll data.
What should you do?
A. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline use the Cloud Data Loss Prevention (Cloud DLP) API to remove any Pll data Store the result in BigQuery
B. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the pipeline store all non-PII data in BigQuery and store all Pll data in a Cloud Storage bucket that has a retention policy set.
C. Ask the external partners to upload an data on Cloud Storage Configure Bucket Lock for the bucket Create a Dataflow pipeline to read the data from the bucket As part of the pipeline, use the Cloud Data Loss Prevention (Cloud DIP) API to remove any Pll data Store the result in BigQuery
D. Ask the external partners to import ail data in your BigQuery dataset Create a dataflow pipeline to copy the data into a new table As part of the Dataflow bucket skip all data in columns that have Pll data
Your company creates rendering software which users can download from the company website. Your company has customers all over the world. You want to minimize latency for all your customers. You want to follow Google-recommended practices.
How should you store the files?
A. Save the files in a Multi-Regional Cloud Storage bucket.
B. Save the files in a Regional Cloud Storage bucket, one bucket per zone of the region.
C. Save the files in multiple Regional Cloud Storage buckets, one bucket per zone per region.
D. Save the files in multiple Multi-Regional Cloud Storage buckets, one bucket per multi-region.
The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?
A. Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
B. Use gcloud to create a Kubernetes cluster. Use kubect1 to create the deployment.
C. Use kubect1 to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
D. Use kubect1 to create a Kubernetes cluster. Use kubect1 to create the deployment.
You need to reduce the number of unplanned rollbacks of erroneous production deployments in your company's web hosting platform. Improvement to the QA/Test processes accomplished an 80% reduction. Which additional two approaches can you take to further reduce the rollbacks? Choose 2 answers
A. Introduce a green-blue deployment model.
B. Replace the QA environment with canary releases.
C. Fragment the monolithic platform into microservices.
D. Reduce the platform's dependency on relational database systems.
E. Replace the platform's relational database systems with a NoSQL database.
You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?
A. Create the Key object for each Entity and run a batch get operation
B. Create the Key object for each Entity and run multiple get operations, one operation for each entity
C. Use the identifiers to create a query filter and run a batch query operation
D. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?
A. Use a persistent disk for each instance.
B. Use a regional persistent disk for each instance.
C. Create a Cloud Filestore instance and mount it in each instance.
D. Create a Cloud Storage bucket and mount it in each instance using gcsfuse.
All compute Engine instances in your VPC should be able to connect to an Active Directory server on specific ports. Any other traffic emerging from your instances is not allowed. You want to enforce this using VPC firewall rules. How should you configure the firewall rules?
A. Create an egress rule with priority 1000 to deny all traffic for all instances. Create another egress rule with priority 100 to allow the Active Directory traffic for all instances.
B. Create an egress rule with priority 100 to deny all traffic for all instances. Create another egress rule with priority 1000 to allow the Active Directory traffic for all instances.
C. Create an egress rule with priority 1000 to allow the Active Directory traffic. Rely on the implied deny egress rule with priority 100 to block all traffic for all instances.
D. Create an egress rule with priority 100 to allow the Active Directory traffic. Rely on the implied deny egress rule with priority 1000 to block all traffic for all instances.
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?
A. Add additional nodes to your Container Engine cluster using the following command: gcloud container clusters resize CLUSTER_NAME--size 10
B. Add a tag to the instances in the cluster with the following command: gcloud compute instances add-tags INSTANCE--tags enable--autoscaling max-nodes-10
C. Update the existing Container Engine cluster with the following command: gcloud alpha container clusters update mycluster--enable-autoscaling--min-nodes=1--max-nodes=10
D. Create a new Container Engine cluster with the following command: gcloud alpha container clusters create mycluster--enable-autocaling--min-nodes=1--max-nodes=10 and redeploy your application.
Nowadays, the certification exams become more and more important and required by more and more enterprises when applying for a job. But how to prepare for the exam effectively? How to prepare for the exam in a short time with less efforts? How to get a ideal result and how to find the most reliable resources? Here on Vcedump.com, you will find all the answers. Vcedump.com provide not only Google exam questions, answers and explanations but also complete assistance on your exam preparation and certification application. If you are confused on your PROFESSIONAL-CLOUD-ARCHITECT exam preparations and Google certification application, do not hesitate to visit our Vcedump.com to find your solutions here.