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Three Google Professional-Cloud-Architect Exam Practice Questions Formats
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The Certified Production and Professional-Cloud-Architect certification is a valuable credential earned by individuals to validate their skills and competence to perform certain job tasks. Your Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect Certification is usually displayed as proof that you’ve been trained, educated, and prepared to meet the specific requirement for your professional role.
Google Professional-Cloud-Architect certification is highly valued in the cloud computing industry, as it demonstrates the holder's ability to design and manage cloud-based solutions that meet the highest standards of security, scalability, and availability. It is an essential certification for cloud architects, cloud engineers, and other professionals who work with cloud-based solutions and want to advance their careers. By passing Professional-Cloud-Architect exam, candidates can demonstrate their expertise and differentiate themselves from their peers in a highly competitive job market.
To become a Google Certified Professional - Cloud Architect (GCP), candidates must pass the Professional-Cloud-Architect exam. Google Certified Professional - Cloud Architect (GCP) certification is intended for individuals who have a deep understanding of GCP services and the ability to design, develop, and manage robust, secure, and scalable solutions. Google Certified Professional - Cloud Architect (GCP) certification exam covers a wide range of topics, including cloud architecture, infrastructure, data storage, networking, security, and application development. Google Certified Professional - Cloud Architect (GCP) certification demonstrates that a professional has the skills and knowledge required to design and implement cloud solutions using GCP, which can lead to better job opportunities and higher salaries in the cloud computing industry.
Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Certification Exam is designed to test the skills and knowledge of cloud architects who work with Google Cloud Platform. It is a globally recognized certification and is highly valued in the industry. Google Certified Professional - Cloud Architect (GCP) certification exam is intended for professionals who have experience in designing and implementing cloud solutions, and who are interested in advancing their careers in cloud architecture.
Reliable Professional-Cloud-Architect Exam Preparation & Professional-Cloud-Architect Reliable Test TestThis is a desktop-based exam simulator software. The user can easily get used to its format and it is compatible with Windows. It has a bank of the actual Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) exam questions, going through them will prove to be vital for your Google Professional-Cloud-Architect exam preparation since a candidate must know his lacking points. The Professional-Cloud-Architect Practice Exam simulator is reliable because its Google Professional-Cloud-Architect exam questions have been compiled by experts and you can be sure of their validity and accuracy. All features of the web-based practice exam are present in this software.
Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q138-Q143):NEW QUESTION # 138
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. 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. - B. Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used
to analyze the efficiency of the model. - C. Save a history of recommendations and results of the recommendations in BigQuery, to be used as
training data. - D. Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which
offer better results.
Answer: D
NEW QUESTION # 139
Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis. What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?
- A. Encrypt all data using elliptic curve cryptography
- B. Hash all data using SHA256
- C. De-identify the data with the Cloud Data Loss Prevention API
- D. Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers
Answer: C
Explanation:
Explanation/Reference: https://cloud.google.com/solutions/pci-dss-compliance-in- gcp#using_data_loss_prevention_api_to_sanitize_data
NEW QUESTION # 140
You are developing a globally scaled frontend for a legacy streaming backend data API. This API expects events in strict chronological order with no repeat data for proper processing.
Which products should you deploy to ensure guaranteed-once FIFO (first-in, first-out) delivery of data?
- A. Cloud Pub/Sub to Cloud SQL
- B. Cloud Pub/Sub to Stackdriver
- C. Cloud Pub/Sub alone
- D. Cloud Pub/Sub to Cloud DataFlow
Answer: A
Explanation:
Explanation
Reference https://cloud.google.com/pubsub/docs/ordering
NEW QUESTION # 141
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?
- A. NoSQL
- B. Flat file
- C. Relational
- D. Blobstore
Answer: A
Explanation:
Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today.
NoSQL fits well for:
Developers are working with applications that create massive volumes of new, rapidly changing

data types - structured, semi-structured, unstructured and polymorphic data.
Incorrect Answers:
D: The Blobstore API allows your application to serve data objects, called blobs, that are much larger than the size allowed for objects in the Datastore service. Blobs are useful for serving large files, such as video or image files, and for allowing users to upload large data files.
References: https://www.mongodb.com/nosql-explained
NEW QUESTION # 142
You are running a cluster on Kubernetes Engine (GKE) to serve a web application. Users are reporting that a specific part of the application is not responding anymore. You notice that all pods of your deployment keep restarting after 2 seconds. The application writes logs to standard output. You want to inspect the logs to find the cause of the issue. Which approach can you take?
- A. Review the Stackdriver logs for the specific GKE container that is serving the unresponsive part of the application.
- B. Review the Stackdriver logs for each Compute Engine instance that is serving as a node in the cluster.
- C. Review the Serial Port logs for each Compute Engine instance that is serving as a node in the cluster.
- D. Connect to the cluster using gcloud credentials and connect to a container in one of the pods to read the logs.
Answer: A
NEW QUESTION # 143
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