VALID PROFESSIONAL-CLOUD-ARCHITECT STUDY GUIDE - STUDY MATERIALS PROFESSIONAL-CLOUD-ARCHITECT REVIEW

Valid Professional-Cloud-Architect Study Guide - Study Materials Professional-Cloud-Architect Review

Valid Professional-Cloud-Architect Study Guide - Study Materials Professional-Cloud-Architect Review

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Are you organized for this? Do you want to end up a Google certified? In case your answer is high great then we guarantee you that you are on the right region. Check in yourself for Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) certification examination and download the Professional-Cloud-Architect exam questions and begin preparation right now.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q187-Q192):

NEW QUESTION # 187
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals.
Which metrics should you track?

  • A. Error rates for requests from Asia
  • B. Total visits, error rates, and latency from Asia
  • C. The number of character sets present in the database
  • D. Total visits and average latency for users from Asia
  • E. Latency difference between US and Asia

Answer: D

Explanation:
From scenario:
Business Requirements include: Expand services into Asia
Technical Requirements include: Decrease latency in Asia


NEW QUESTION # 188
A recent audit revealed that a new network was created in your GCP project. In this network, a GCE instance has an SSH port open to the world. You want to discover this network's origin.
What should you do?

  • A. Navigate to the Activity page in the Home section. Set category to Data Access and search for Create VM entry
  • B. In the Logging section of the console, specify GCE Network as the logging section. Search for the Create Insert entry
  • C. Search for Create VM entry in the Stackdriver alerting console
  • D. Connect to the GCE instance using project SSH keys. Identify previous logins in system logs, and match these with the project owners list

Answer: B

Explanation:
Incorrect Answers:
A: To use the Stackdriver alerting console we must first set up alerting policies.
B: Data access logs only contain read-only operations.
Audit logs help you determine who did what, where, and when.
Cloud Audit Logging returns two types of logs:
Admin activity logs
Data access logs: Contains log entries for operations that perform read-only operations do not modify any data, such as get, list, and aggregated list methods.


NEW QUESTION # 189
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. To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

  • A. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.
  • B. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.
  • C. Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.
  • D. Use multiple Google Container Engine clusters running FTP servers located in different regions.
    Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.

Answer: A


NEW QUESTION # 190
For this question, refer to the TerramEarth case study.
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?

  • A. Vehicles write data directly to GCS.
  • B. Vehicles stream data directly to Google BigQuery.
  • C. Vehicles write data directly to Google Cloud Pub/Sub.
  • D. Vehicles continue to write data using the existing system (FTP).

Answer: C

Explanation:
Scale to hundreds of millions of messages per second and pay only for the resources you use. There are no partitions or local instances to manage, reducing operational overhead. Data is automatically and intelligently distributed across data centers over our unique, high-speed private network.
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.
https://cloud.google.com/pubsub/


NEW QUESTION # 191
For this question, refer to the EHR Healthcare case study. You are responsible for ensuring that EHR's use of Google Cloud will pass an upcoming privacy compliance audit. What should you do? (Choose two.)

  • A. Verify EHR's product usage against the list of compliant products on the Google Cloud compliance page.
  • B. Use Firebase Authentication for EHR's user facing applications.
  • C. Use GKE private clusters for all Kubernetes workloads.
  • D. Advise EHR to execute a Business Associate Agreement (BAA) with Google Cloud.
  • E. Implement Prometheus to detect and prevent security breaches on EHR's web-based applications.

Answer: A,D

Explanation:
Reference:
https://cloud.google.com/security/compliance/hipaa


NEW QUESTION # 192
......

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