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Building Secure & Reliable Systems: Best Practices for Designing, Implementing, and Maintaining Systems (1st Edition)The authors of this book (Heather Adkins, Piotr Lewandoski, Betsy Beyer, Ana Oprea, and others) created this comprehensive self-study tool with an aim to help candidates learn how to accommodate security and reliability solutions in the lifecycle of systems and software. This material gives explicit knowledge of highly secure systems through coding, debugging, and testing practices, design techniques, and strategies required to address security incidents. Check it out from Amazon and get easy access to one of the most valuable study resources you will ever find for the Google Professional Cloud Developer exam preparation.
Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud (1st Edition)This book is perfectly designed to cover everything there’s to know about Kubernetes. It is a valuable study material that addresses vital details starting with what Kubernetes is, its origin, and what the future holds for this platform. You will build a high-level knowledge of containers including how they work, how to manage them, and most importantly, the tips for designing cloud-native infrastructure and similar services.
This guide suits both experienced IT professionals and beginner-level individuals who are only getting started with Kubernetes. Through this resource, candidates will gain important hands-on skills related to the writing and deployment of Kubernetes apps, configuration and operation of Kubernetes clusters, and cloud infrastructure automation using popular tools such as Helm. What’s more, this book will also help you build fundamental knowledge of Kubernetes security, including Role Based Access Control (RBAC). When opting to study using this book, be sure to get the official resource that’s written by John Arundel alongside Justin Domingus.
Building & Testing AppsWrite Efficient Code: The potential candidates should understand algorithm design, software development methodologies, modern app patterns, and debugging & profiling code.Set up a Local Development Environment: This subsection measures your skills in creating different Google Cloud projects, using developing tools and command-line interfaces, Cloud Shell tools, and Google Cloud Console, as well as imitating Google Cloud services for the development of the local application.Building: It covers the skills in managing source control, improving and reviewing continuous efficiency in the integration pipeline, as well as creating different secure container images through code.Testing: Here, an applicant needs to have the skills in unit testing, performance testing, integration testing, and load testing.>> Professional-Cloud-Developer Reliable Braindumps Files <<
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Section 4: Integrating Google Cloud ServicesThe aim of this domain is to evaluate the learners based on their capacity to integrate an app with storage & data services, integrate an app with compute services, as well as integrate Cloud APIs with apps.
Google Certified Professional - Cloud Developer Sample Questions (Q92-Q97):NEW QUESTION # 92
Select the statement that appropriately sets customer expectations when fixing an issue.
Answer: B
NEW QUESTION # 93
For this question, refer to the HipLocal case study.
A recent security audit discovers that HipLocal's database credentials for their Compute Engine-hosted MySQL databases are stored in plain text on persistent disks. HipLocal needs to reduce the risk of these credentials being stolen. What should they do?
Answer: B
Explanation:
Explanation
https://cloud.google.com/secret-manager/docs/overview
NEW QUESTION # 94
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?
Answer: B
Explanation:
Reference: https://cloud.google.com/solutions/best-practices-cloud-spanner-gaming-database
Topic 1, HipLocal Case StudyCompany Overview
HipLocal is a community application designed to facilitate communication between people in close proximity.
It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10,000 miles away from each other.
Solution concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones.
They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing technical environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP
* State is stored in a single instance MySQL database in GCP
* Data is exported to an on-premises Teradata/Vertica data warehouse
* Data analytics is performed in an on-premises Hadoop environment
* The application has no logging
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive Business requirements HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions
* Increase the number of concurrent users that can be supported
* Ensure a consistent experience for users when they travel to different regions
* Obtain user activity metrics to better understand how to monetize their product
* Ensure compliance with regulations in the new regions (for example, GDPR)
* Reduce infrastructure management time and cost
* Adopt the Google-recommended practices for cloud computing
Technical requirements
* The application and backend must provide usage metrics and monitoring
* APIs require strong authentication and authorization
* Logging must be increased, and data should be stored in a cloud analytics platform
* Move to serverless architecture to facilitate elastic scaling
* Provide authorized access to internal apps in a secure manner
NEW QUESTION # 95
You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable.
Which technique should you choose?
Answer: D
Explanation:
Explanation/Reference: https://medium.com/google-cloud/stackdriver-monitoring-automation-part-3-uptime-checks-
476b8507f59c
NEW QUESTION # 96
You are working on a social media application. You plan to add a feature that allows users to upload images.
These images will be 2 MB - 1 GB in size. You want to minimize their infrastructure operations overhead for this feature. What should you do?
Answer: B
Explanation:
Reference:
https://cloud.google.com/blog/products/storage-data-transfer/uploading-images-directly-to-cloud-storage-by-usin
NEW QUESTION # 97
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