100% Pass Quiz Professional-Cloud-Architect - Google Certified Professional - Cloud Architect (GCP)–The Best Current Exam Content

October 9, 2024, 12:32 am / dpybidn035.ampedpages.com

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To prepare for the Google Professional-Cloud-Architect certification exam, candidates are advised to have experience in designing and managing solutions on the Google Cloud Platform, as well as a deep understanding of cloud computing concepts and technologies. Professional-Cloud-Architect exam covers a range of topics, including designing and managing cloud architecture, optimizing and scaling cloud resources, designing for security and compliance, and managing cloud solutions.

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Current Professional-Cloud-Architect Exam Content & 2024 Realistic Google Google Certified Professional - Cloud Architect (GCP) Valid Dumps

There is no doubt that advanced technologies are playing an important role in boosting the growth of Google companies. This is the reason why the employees have now started upgrading their skillset with the Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) certification exam because they want to work with those latest applications and save their jobs. They attempt the Professional-Cloud-Architect exam to validate their skills and try to get their dream job.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q136-Q141):

NEW QUESTION # 136
You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly. What should you do?

  • A. Write a shell script that gathers metrics from GKE nodes, publish these metrics to a Pub/Sub topic, export the data to BigQuery, and make a Data Studio dashboard.
  • B. Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.
  • C. Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.
  • D. Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.

Answer: B

Explanation:
Reference: https://cloud.google.com/monitoring/charts/dashboards


NEW QUESTION # 137
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. Implement retry logic using a truncated exponential backoff strategy.
  • B. Make sure the Cloud Storage bucket is multi-regional for geo-redundancy.
  • C. Monitor https://status.cloud.google.com/feed.atom and only make requests if Cloud Storage is not reporting an incident.
  • D. Use gRPC instead of HTTP for better performance.

Answer: A

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


NEW QUESTION # 138
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day.
TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment

TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without
increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use
their equipment IP better position new products and services.
- Have the ability to partner with different companies-especially with
seed and fertilizer suppliers in the fast-growing agricultural
business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study. TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs.
What should they do?

  • A. Have the vehicle's computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.
  • B. Have the vehicle' computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.
  • C. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.
  • D. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.

Answer: C

Explanation:
Answer should be B - Why would you collect data in Coldline when the purpose is to collect data to analysis down the line and cost wise it should be similar to store such large volume in BQ instead of COldline given the Data access cost involved. ML can be directly done on BQ instead of pulling this data from Coldline into another DB and then applying ML algos on the data which will be more expensive to achieve


NEW QUESTION # 139
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier. How should you configure the network?

  • A. Add tags to each tier and set up routes to allow the desired traffic flow.
  • B. Set up software based firewalls on individual VMs.
  • C. Add tags to each tier and set up firewall rules to allow the desired traffic flow.
  • D. Add each tier to a different subnetwork.

Answer: C

Explanation:
https://aws.amazon.com/blogs/aws/building-three-tier-architectures-with-security-groups/ Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
References: https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/


NEW QUESTION # 140
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

  • A. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
  • B. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.
  • C. Define a design for the security of data in your web application that meets GDPR requirements.
  • D. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.

Answer: C

Explanation:
Explanation
https://cloud.google.com/security/gdpr/?tab=tab4
Reference: https://www.mobiloud.com/blog/gdpr-compliant-mobile-app/


NEW QUESTION # 141
......

The Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) web-based practice test is compatible with these browsers: Chrome, Safari, Internet Explorer, MS Edge, Firefox, and Opera. This Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) practice exam does not require any software installation as it is web-based. It has similar specifications to the Google Professional-Cloud-Architect desktop-based practice exam software, but it requires an internet connection.

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