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The Google sector is an ever-evolving and rapidly growing industry that is crucial in shaping our lives today. With the growing demand for skilled Google professionals, obtaining Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) certification exam has become increasingly important for those who are looking to advance their careers and stay competitive in the job market.
The benefits of becoming a certified Professional-Cloud-Architect are numerous. Firstly, it demonstrates a high level of expertise in cloud architecture and GCP, which can enhance one's career prospects and earning potential. Secondly, it can help organizations identify professionals with the necessary skills to design and manage their cloud solutions. Lastly, it provides access to a community of certified professionals and resources to stay up-to-date with the latest developments in GCP.
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Prerequisites
There are no official requirements that the candidates for the Google Professional Cloud Architect certification need to satisfy. However, it is recommended that the applicants possess 3 or more years of industry experience, including at least 1 year of experience with designing and managing solutions using Google Cloud Platform. Their solid knowledge of the topics covered in the qualifying exam is also required.
Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q42-Q47):
NEW QUESTION # 42
You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely. Where should you store the credentials?
- A. In an environment variable
- B. In a config file that has restricted access through ACLs
- C. In a secret management system
- D. In the source code
Answer: C
Explanation:
A is not correct because storing credentials in source code and source control is discoverable, in plain text, by anyone with access to the source code. This also introduces the requirement to update code and do a deployment each time the credentials are rotated.
B is not correct because consistently populating environment variables would require the credentials to be available, in plain text, when the session is started.
C is correct because key management systems generate, use, rotate, encrypt, and destroy cryptographic keys and manage permissions to those keys.
D is not correct because instead of managing access to the config file and updating manually as keys are rotated, it would be better to leverage a key management system. Additionally, there is increased risk if the config file contains the credentials in plain text.
https://cloud.google.com/kms/
NEW QUESTION # 43
You are developing your microservices application on Google Kubernetes Engine. During testing, you want to validate the behavior of your application in case a specific microservice should suddenly crash. What should you do?
- A. Add a taint to one of the nodes of the Kubernetes cluster. For the specific microservice, configure a pod anti-affinity label that has the name of the tainted node as a value.
- B. Use Istio's fault injection on the particular microservice whose faulty behavior you want to simulate.
- C. Destroy one of the nodes of the Kubernetes cluster to observe the behavior.
- D. Configure Istio's traffic management features to steer the traffic away from a crashing microservice.
Answer: B
Explanation:
Explanation
Microservice runs on all nodes. The Micro service runs on Pod, Pod runs on Nodes. Nodes is nothing but Virtual machines. Once deployed the application microservices will get deployed across all Nodes. Destroying one node may not mimic the behaviour of microservice crashing as it may be running in other nodes.
link: https://istio.io/latest/docs/tasks/traffic-management/fault-injection/
NEW QUESTION # 44
You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted. What should you do?
- A. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown-script in the Cloud Platform Console when you create the new virtual machine instance.
- B. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
- C. Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
- D. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url
Answer: B
NEW QUESTION # 45
For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.
Which two actions should you take?
- A. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Coldline", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Coldline", and Action: "Set to Nearline".
- B. Create a Cloud Storage lifecycle rule with Age: "90", Storage Class: "Standard", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Nearline", and Action: "Set to Coldline".
- C. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Nearline", and Action: "Delete".
- D. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Coldline", and Action: "Delete".
Answer: D
NEW QUESTION # 46
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
- A. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
- B. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
- C. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.
- D. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of
36 months.
Answer: A
NEW QUESTION # 47
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