Google Cloud Digital Leader Practice Test - Questions Answers, Page 14
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Question 131
You are consulting for a client who is migrating to Google Cloud. They presently have a matrix organization.
Their IT environments were managed around projects. Each team had multiple projects.
All the projects had a flat structure under the company. What would you advise them when plan-ning for the move?
Explanation:
Folders for a related group of projects are the recommended approach.
-> A flat structure under the organization node is possible on Google Cloud, but it is not recommended. It becomes tougher to manage.
-> Projects cannot have sub-projects; there can only be resources within Projects.
Reference link- https://cloud.google.com/resource-manager/docs/cloud-platform-resourcehierarchy
Question 132
Your company has a requirement to run manual tests on their web products for UX research before it is released to end customers. The people who will do the tests are external to the company. They will either use their own Gmail id or be given temporary email ids using the applications and record-ing their inputs in another app. The UX testing is done in the last week of the month. Each month the UX testers could be different. How should the IT team manage the users?
Explanation:
Groups are convenient to use for this requirement. Permissions to the group are automatically inherited by the members of the group. Adding and removing UX testers from the group will grant and remove permissions.
Question 133
What is a key difference between VMs and containers?
Explanation:
VMs have their individual OSs. All containers on a node use the host operating system.
Question 134
In discussions with a prospective customer who wants to move to Google Cloud to make use of the latest, scalable technologies available therein, you learn that there are very strict regulations concern-ing the storage of dat a. They only have the approval to store it in their current private data cen-ter. What would you advise them?
Explanation:
Moving to Google Cloud is not an all-or-nothing option. Certain workloads can continue to remain on-premise while the predominant chunk moves to Google Cloud
Question 135
Which of the followings are core components of Anthos?
Explanation:
Question 136
When creating machine learning models, a key initial step is to identify the type of model required.
One of these is the classification model. Which of these statements define a classification model?
Explanation:
A classification model classifies the incoming data into one or more discrete classes.
Question 137
You are a DevOps Engineer in an E-commerce company that sells products globally, across the countries, Customers buy products, add them to carts or check-in stock from different parts of the world with different timestamps, you need to choose a database that can scale globally without any hassle and lots of developer support, it should be consistent across regions, can scale horizontally to support enormous user, automatically replicates, shards and even auto transaction pro-cessing.
Which of the following database do you choose?
Explanation:
Cloud Spanner:
Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.
- Get all the benefits of relational semantics and SQL with unlimited scale
- Start at any size and scale with no limits as your needs grow
- Enjoy high availability with zero scheduled downtime and online schema changes
- Deliver high-performance transactions with strong consistency across regions and continents
- Focus on innovation, eliminating manual tasks with capabilities like automatic sharding Automatic sharding Cloud Spanner optimizes performance by automatically sharding the data based on request load and size of the data. As a result, you can spend less time worrying about how to scale your database and instead focus on scaling your business.
Strong transactional consistency
Purpose-built for external, strong, global transactional consistency.
Regional and multi-regional configurations
No matter where your users may be, apps backed by Cloud Spanner can read and write up-to-date strongly consistent data globally Additionally, when running a multi-region instance, your database is able to survive a regional failure, and offers industry-leading 99.999% availability.
Online schema changes with no downtime
Cloud Spanner users can make a schema change, whether it's adding a column or adding an index while serving traffic with zero downtime. Hence you now have the flexibility to adapt your database to your business needs without compromising on the availability of your application.
Question 138
A bank wants to track the success of their existing ATM network, which has been modernized with APIs to instantly notify customers about their transfers. What is the benefit of using Apigee to achieve this goal?
Explanation:
Apigee includes analytics services which allow enterprises to report on various aspects of an API.
Question 139
The Border Security Agency has hired your software services firm to build an application for them that will collect information about visas stamped on passports. You are given stamped images. You have to find out which country issued the visa and the period of validity. Pull out this data and put it into a database. Which of these applications would be suitable for that?
Explanation:
Cloud Vision API allows you to programmatically identify images, text, etc. in the document. This would be the best option.
https://cloud.google.com/vision
Question 140
Which of the following statements is/are true about Google Cloud BigTable?
Explanation:
Cloud Bigtable
A fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.
- Consistent sub-10ms latencyóhandle millions of requests per second
- Ideal for use cases such as personalization, ad tech, fintech, digital media, and IoT
- Seamlessly scale to match your storage needs; no downtime during reconfiguration
- Designed with a storage engine for machine learning applications leading to better predictions
- Easily connect to Google Cloud services such as BigQuery or the Apache ecosystem
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