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Designing for Compliance and Security

Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).
Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q57-Q62):

NEW QUESTION # 57
You want to automate the creation of a managed instance group. The VMs have many OS package dependencies. You want to minimize the startup time for VMs in the instance group.
What should you do?

A. Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.
B. Use Puppet to create the managed instance group and install the OS package dependencies.
C. Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.
D. Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.

Answer: A

Explanation:
Explanation/Reference:

NEW QUESTION # 58
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?

A. Google BigQuery
B. Google Cloud Storage
C. Google Cloud SQL
D. Google Cloud Bigtable

Answer: D

Explanation:
It is time-series data, So Big Table.
https://cloud.google.com/bigtable/docs/schema-design-time-series
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
* Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
* IoT, finance, adtech
* Personalization, recommendations
* Monitoring
* Geospatial datasets
* Graphs
References:
https://cloud.google.com/storage-options/

NEW QUESTION # 59
One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.

A. Use larger machine types for your Google Container Engine node pools.
B. Use a slimmed-down base image like Alpine linux.
C. Remove dependencies from requirements.txt.
D. Copy the source after the package dependencies (Python and pip) are installed.
E. Remove Python after running pip.

Answer: B,D

Explanation:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/

NEW QUESTION # 60
Your company places a high value on being responsive and meeting customer needs quickly. Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced.
Which two actions can you take? Choose 2 answers.

A. Ensure you have stubs to unit test all interfaces between components
B. Run a vulnerability security scanner as part of your continuous-integration /continuous-delivery (CI/CD) pipeline
C. Use source code security analyzers as part of the CI/CD pipeline
D. Enable code signing and a trusted binary repository integrated with your CI/CD pipeline
E. Ensure every code check-in is peer reviewed by a security SME

Answer: B,C

NEW QUESTION # 61
Your company is running its application workloads on Compute Engine. The applications have been deployed in production, acceptance, and development environments. The production environment is business-critical and is used 24/7, while the acceptance and development environments are only critical during office hours. Your CFO has asked you to optimize these environments to achieve cost savings during idle times. What should you do?

A. Use regular Compute Engine instances for the production environment, and use preemptible VMs for the acceptance and development environments.
B. Deploy the development and acceptance applications on a managed instance group and enable autoscaling.
C. Create a shell script that uses the gcloud command to change the machine type of the development and acceptance instances to a smaller machine type outside of office hours. Schedule the shell script on one of the production instances to automate the task.
D. Use Cloud Scheduler to trigger a Cloud Function that will stop the development and acceptance environments after office hours and start them just before office hours.

Answer: D

NEW QUESTION # 62
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