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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 36)

Page 35 of 104
PDF with 411 Questions

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?

  1. Cloud SQL
  2. Cloud Spanner
  3. Cloud Firestore.
  4. Cloud Storage.

Answer(s): B

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.



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?

  1. It has dashboards that chart dimensions and metrics to report on APIs.
  2. It replicates banking APIs to create new business value.
  3. It measures and tracks their total cost of ownership (TCO).
  4. It allows developers to connect the banking APIs with the public cloud.

Answer(s): A

Explanation:

Apigee includes analytics services which allow enterprises to report on various aspects of an API.



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?

  1. Use Cloud Vision API - write code to identify the text blocks, copy the data, and store it
  2. Use TensorFlow - write code that will identify the type of visa and the bounding text blocks. Copy the data and then store it.
  3. Use AutoML - upload other images of visas and run the model creation process which will automatically identify the visas
  4. Use Data Labeling service - outsource the work of marking and extracting the in-formation to others.

Answer(s): A

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



Which of the following statements is/are true about Google Cloud BigTable?

  1. It is not compatible with Hadoop.
  2. It Scales from Giga Byte to Peta Byte with No Downtime.
  3. It can not be used in Real-time Ad analytics and tracking thousands of IoT Devices Data.
  4. It is an enterprise-level Database that offers relational and non-relational features

Answer(s): B

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 latency--handle 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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