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Section #5. Managing implementation

This section has two major topics and assesses the candidates’ skills in application development, system migration, data management, API development/usage best practices, and testing frameworks. Interacting with Google Cloud programmatically is the key focus of the second sub-topic. The main considerations here are Cloud Emulators, Google Cloud Shell, and Cloud SDK.

Career Opportunities

Building a career in the field of IT requires some level of commitment. One of the areas where this commitment is required is obtaining the certifications. With an IT certificate, you can increase your access to numerous career opportunities and earn attractive remuneration. For the holders of the Google Professional Cloud Architect certification, there are many job roles that they can take up. Some of them include a Google Cloud Architect, a Technical Cloud Architect, a Google Cloud Platform Delivery Architect, a Google Cloud Data Architect, and an Enterprise Architect. These positions come with attractive salaries averaging $120,000 per annum. The specialists with some years of experience can get as much as $180,000.

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The Google Professional-Cloud-Architect certification is a valuable certification for professionals who work with GCP. The certification is designed to test the candidate’s knowledge and skills in designing, developing, and managing secure, scalable, and reliable solutions on the GCP. The certification is highly regarded in the industry and is recognized by many organizations. Passing the certification exam is a testament to the candidate’s expertise in GCP and their ability to design and implement solutions that meet the needs of organizations.

Google Certified Professional – Cloud Architect (GCP) Sample Questions (Q102-Q107):

NEW QUESTION # 102
The TerramEarth development team wants to create an API to meet the company’s business requirements.
You want the development team to focus their development effort on business value versus creating a custom framework.
Which method should they use?

  • A. Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners
  • B. Use Google App Engine with the Swagger (Open API Specification) framework. Focus on an API for the public
  • C. Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners
  • D. Use Google Container Engine with a Django Python container. Focus on an API for the public
  • E. Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public

Answer: A

Explanation:
Develop, deploy, protect and monitor your APIs with Google Cloud Endpoints. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development.
From scenario:
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 to 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.
Reference: https://cloud.google.com/certification/guides/cloud-architect/casestudy-terramearth

NEW QUESTION # 103
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?

  • A. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
  • B. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
  • C. Create a cron script using gsutil to copy the files to a Regional Storage bucket.
  • D. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.

Answer: D

Explanation:
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
* When transferring data from an on-premises location, use gsutil.
* When transferring data from another cloud storage provider, use Storage Transfer Service.
* Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate
https://cloud.google.com/storage-transfer/docs/overview

NEW QUESTION # 104
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 Container Engine with Bigtable
  • B. Google Cloud Dataproc
  • C. Google Compute Engine with Google BigQuery
  • D. Google Cloud Dataflow

Answer: D

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 # 105
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google- recommended tool for such applications?

  • A. Cloud Firestore, because it offers real-time synchronization across devices
  • B. Cloud Spanner, because it is globally distributed
  • C. BigQuery, because it is designed for large-scale processing of tabular data
  • D. Cloud SQL, because it is a fully managed relational database

Answer: C

Explanation:
Explanation/Reference: https://cloud.google.com/files/BigQueryTechnicalWP.pdf

NEW QUESTION # 106
Your company is planning to upload several important files to Cloud Storage. After the upload is completed, they want to verify that the upload content is identical to what they have on- premises. You want to minimize the cost and effort of performing this check. What should you do?

  • A. 1) Use gsutil -m to upload all the files to Cloud Storage.
    2) Use gsutil hash -c FILE_NAME to generate CRC32C hashes of all on-premises files
    3) Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files
    4) Compare the hashes
  • B. 1) Use gsutil -m to upload all the files to Cloud Storage.
    2) Use gsutil cp to download the uploaded files
    3) Use Linux diff to compare the content of the files
  • C. 1) Use gsutil -m to upload all the files to Cloud Storage.
    2) Develop a custom Java application that computes CRC32C hashes
    3) Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files
    4) Compare the hashes
  • D. 1) Use Linux shasum to compute a digest of files you want to upload
    2) Use gsutil -m to upload all the files to the Cloud Storage
    3) Use gsutil cp to download the uploaded files
    4) Use Linux shasum to compute a digest of the downloaded files 5.Compre the hashes

Answer: A

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

NEW QUESTION # 107
……

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