Top Tips Of Update Professional-Cloud-Architect Free Dumps

NEW QUESTION 1

Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and
live-processing some data as it comes in. Which technology should they use for this?

• A. Google Cloud Dataproc
• B. Google Cloud Dataflow
• C. Google Container Engine with Bigtable
• D. Google Compute Engine with Google BigQuery

Answer: B

Explanation:
Dataflow is for processing both the Batch and Stream.
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.
References: https://cloud.google.com/dataflow/

NEW QUESTION 2

For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:
• Services are deployed redundantly across multiple regions in the US and Europe.
• Only frontend services are exposed on the public internet.
• They can provide a single frontend IP for their fleet of services.
• Deployment artifacts are immutable. Which set of products should they use?

• A. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
• B. Google Cloud Storage, Google App Engine, Google Network Load Balancer
• C. Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
• D. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager

Answer: C

NEW QUESTION 3

For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?

• A. Container Engine, Cloud Pub/Sub, and Cloud SQL
• B. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
• C. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
• D. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
• E. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

Answer: B

Explanation:
A real time requires Stream / Messaging so Pub/Sub, Analytics by Big Query.
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game’s backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers
Process data that arrives late because of slow mobile networks
Allow SQL queries to access at least 10 TB of historical data
Process files that are regularly uploaded by users’ mobile devices
Use only fully managed services
References: https://cloud.google.com/solutions/big-data/stream-analytics/

NEW QUESTION 4

You have an application that makes HTTP requests to Cloud Storage. Occasionally the requests fail with HTTP status codes of 5xx and 429.
How should you handle these types of errors?

• A. Use gRPC instead of HTTP for better performance.
• B. Implement retry logic using a truncated exponential backoff strategy.
• C. Make sure the Cloud Storage bucket is multi-regional for geo-redundancy.
• D. Monitor https://status.cloud.google.com/feed.atom and only make requests if Cloud Storage is not reporting an incident.

Answer: A

Explanation:
Reference https://cloud.google.com/storage/docs/json_api/v1/status-codes

NEW QUESTION 5

For this question, refer to the Mountkirk Games case study.
Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

• A. Verify that the database is online.
• B. Verify that the project quota hasn't been exceeded.
• C. Verify that the new feature code did not introduce any performance bugs.
• D. Verify that the load-testing team is not running their tool against production.

Answer: B

Explanation:
* 503 is service unavailable error. If the database was online everyone would get the 503 error. https://cloud.google.com/docs/quota#capping_usage

NEW QUESTION 6

Your applications will be writing their logs to BigQuery for analysis. Each application should have its own table.
Any logs older than 45 days should be removed. You want to optimize storage and follow Google recommended practices. What should you do?

• A. Configure the expiration time for your tables at 45 days
• B. Make the tables time-partitioned, and configure the partition expiration at 45 days
• C. Rely on BigQuery’s default behavior to prune application logs older than 45 days
• D. Create a script that uses the BigQuery command line tool (bq) to remove records older than 45 days

Answer: B

Explanation:
https://cloud.google.com/bigquery/docs/managing-partitioned-tables

NEW QUESTION 7

Your web application has several VM instances running within a VPC. You want to restrict communications between instances to only the paths and ports you authorize, but you don’t want to rely on static IP addresses or subnets because the app can autoscale. How should you restrict communications?

• A. Use separate VPCs to restrict traffic
• B. Use firewall rules based on network tags attached to the compute instances
• C. Use Cloud DNS and only allow connections from authorized hostnames
• D. Use service accounts and configure the web application particular service accounts to have access

Answer: B

NEW QUESTION 8

Your development team has installed a new Linux kernel module on the batch servers in Google Compute Engine (GCE) virtual machines (VMs) to speed up the nightly batch process. Two days after the installation, 50% of web application deployed in the same
nightly batch run. You want to collect details on the failure to pass back to the development team. Which three actions should you take? Choose 3 answers

• A. Use Stackdriver Logging to search for the module log entries.
• B. Read the debug GCE Activity log using the API or Cloud Console.
• C. Use gcloud or Cloud Console to connect to the serial console and observe the logs.
• D. Identify whether a live migration event of the failed server occurred, using in the activity log.
• E. Adjust the Google Stackdriver timeline to match the failure time, and observe the batch server metrics.
• F. Export a debug VM into an image, and run the image on a local server where kernel log messages will be displayed on the native screen.

Answer: ACE

Explanation:
https://www.flexera.com/blog/cloud/2013/12/google-compute-engine-live-migration-passes-the-test/ "With live migration, the virtual machines are moved without any downtime or noticeable service
degradation"

NEW QUESTION 9

You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend. What should you do?

• A. Write a lifecycle management rule in XML and push it to the bucket with gsutil.
• B. Write a lifecycle management rule in JSON and push it to the bucket with gsutil.
• C. Schedule a cron script using gsutil is -lr gs://backups/** to find and remove items older than 90 days.
• D. Schedule a cron script using gsutil ls -1 gs://backups/** to find and remove items older than 90 days and schedule it with cron.

Answer: B

Explanation:
https://cloud.google.com/storage/docs/gsutil/commands/lifecycle

NEW QUESTION 10

Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings. Which approach should you use?

• A. Grant the security team access to the logs in each Project.
• B. Configure Stackdriver Monitoring for all Projects, and export to BigQuery.
• C. Configure Stackdriver Monitoring for all Projects with the default retention policies.
• D. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.

Answer: D

Explanation:
Overview of storage classes, price, and use cases https://cloud.google.com/storage/docs/storage-classes Why export logs? https://cloud.google.com/logging/docs/export/
StackDriver Quotas and Limits for Monitoring https://cloud.google.com/monitoring/quotas The BigQuery pricing. https://cloud.google.com/bigquery/pricing

NEW QUESTION 11

You are using Cloud SQL as the database backend for a large CRM deployment. You want to scale as usage increases and ensure that you don’t run out of storage, maintain 75% CPU usage cores, and keep replication lag below 60 seconds. What are the correct steps to meet your requirements?

• A. 1) Enable automatic storage increase for the instance.2) Create a Stackdriver alert when CPU usage exceeds 75%, and change the instance type to reduce CPU usage.3) Create a Stackdriver alert for replication lag, and shard the database to reduce replication time.
• B. 1) Enable automatic storage increase for the instance.2) Change the instance type to a 32-core machine type to keep CPU usage below 75%.3) Create a Stackdriver alert for replication lag, and shard the database to reduce replication time.
• C. 1) Create a Stackdriver alert when storage exceeds 75%, and increase the available storage on the instance to create more space.2) Deploy memcached to reduce CPU load.3) Change the instance type to a 32-core machine type to reduce replication lag.
• D. 1) Create a Stackdriver alert when storage exceeds 75%, and increase the available storage on the instance to create more space.2) Deploy memcached to reduce CPU load.3) Create a Stackdriver alert for replication lag, and change the instance type to a 32-core machine typeto reduce replication lag.

Answer: A

NEW QUESTION 12

Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup. Which two steps should they take? Choose 2 answers

• A. Load logs into Google BigQuery.
• B. Load logs into Google Cloud SQL.
• C. Import logs into Google Stackdriver.
• D. Insert logs into Google Cloud Bigtable.
• E. Upload log files into Google Cloud Storage.

Answer: AE

NEW QUESTION 13

You have been engaged by your client to lead the migration of their application infrastructure to GCP. One of their current problems is that the on-premises high performance SAN is requiring frequent and expensive upgrades to keep up with the variety of workloads that are identified as follows: 20TB of log archives retained for legal reasons; 500 GB of VM boot/data volumes and templates; 500 GB of image thumbnails; 200 GB of customer session state data that allows customers to restart sessions even if off-line for several days.
Which of the following best reflects your recommendations for a cost-effective storage allocation?

• A. Local SSD for customer session state dat
• B. Lifecycle-managed Cloud Storage for log archives, thumbnails, and VM boot/data volumes.
• C. Memcache backed by Cloud Datastore for the customer session state dat
• D. Lifecycle- managed Cloud Storage for log archives, thumbnails, and VM boot/data volumes.
• E. Memcache backed by Cloud SQL for customer session state dat
• F. Assorted local SSD-backed instances for VM boot/data volume
• G. Cloud Storage for log archives and thumbnails.
• H. Memcache backed by Persistent Disk SSD storage for customer session state dat
• I. Assorted local SSDbacked instances for VM boot/data volume
• J. Cloud Storage for log archives and thumbnails.

Answer: D

Explanation:
https://cloud.google.com/compute/docs/disks

NEW QUESTION 14

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.

Answer: A

Explanation:
https://cloud.google.com/storage/docs/locations#location-mr

NEW QUESTION 15

Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible. Which cloud infrastructure should you recommend?

• A. Google Compute Engine unmanaged instance groups and Network Load Balancer
• B. Google Compute Engine managed instance groups with auto-scaling
• C. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
• D. Google App Engine with Google Stackdriver for logging

Answer: B

Explanation:
https://cloud.google.com/compute/docs/instance-groups/
Google Compute Engine enables users to launch virtual machines (VMs) on demand. VMs can be launched from the standard images or custom images created by users.
Managed instance groups offer autoscaling capabilities that allow you to automatically add or remove instances from a managed instance group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower.

NEW QUESTION 16

Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99.99% availability SLA under these conditions However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?

• A. Capture existing users input, and replay captured user load until autoscale is triggered on all layer
• B. At the same time, terminate all resources in one of the zones.
• C. Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones.
• D. Expose the new system to a larger group of users, and increase group ' size each day until autoscale logic is tnggered on all layer
• E. At the same time, terminate random resources on both zones.
• F. Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also,derive estimated number of users based on existing users usage of the app, and deploy enough resources to handle 200% of expected load.

Answer: A

NEW QUESTION 17

A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers

• A. Cloud Deployment Manager uses Python.
• B. Cloud Deployment Manager APIs could be deprecated in the future.
• C. Cloud Deployment Manager is unfamiliar to the company's engineers.
• D. Cloud Deployment Manager requires a Google APIs service account to run.
• E. Cloud Deployment Manager can be used to permanently delete cloud resources.
• F. Cloud Deployment Manager only supports automation of Google Cloud resources.

Answer: CF

Explanation:
https://cloud.google.com/deployment-manager/docs/deployments/deleting-deployments

NEW QUESTION 18

Your customer runs a web service used by e-commerce sites to offer product recommendations to users. The company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model’s results over time?

• A. Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used to analyze the efficiency of the model.
• B. Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which offer better results.
• C. Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the model to them as soon as they are available for additional performance.
• D. Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.

Answer: D

Explanation:
https://cloud.google.com/solutions/building-a-serverless-ml-model

NEW QUESTION 19

You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where
should you store the data?

• A. Google BigQuery
• B. Google Cloud SQL
• C. Google Cloud Bigtable
• D. Google Cloud Storage

Answer: C

Explanation:
It is time-series data, So Big Table. https://cloud.google.com/bigtable/docs/schema-design-time-series
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
Low-latency read/write access
High-throughput analytics
Native time series support
Common workloads:
IoT, finance, adtech
Personalization, recommendations
Monitoring
Geospatial datasets
Graphs
References: https://cloud.google.com/storage-options/

NEW QUESTION 20
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