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| Section | Objectives |
|---|---|
| Digital Transformation with Google Cloud | - Understanding digital transformation concepts - Business value of cloud adoption - Google Cloud value proposition |
| Data and Artificial Intelligence | - Machine learning and AI capabilities overview - Data-driven decision making - Data analytics fundamentals on Google Cloud |
| Google Cloud Security and Operations | - Identity and access management basics - Monitoring, logging, and operations tools - Security principles in Google Cloud |
| Infrastructure and Application Modernization | - Compute, storage, and networking basics - Cloud infrastructure fundamentals - Application modernization approaches |
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NEW QUESTION # 403
A retail store has discovered a cost-effective solution for creating self-service kiosks. They can use existing check-out hardware and purchase a virtual customer service application. Why do they also need an API?
Answer: D
Explanation:
Explanation
APIs can create new business value by connecting legacy systems (the checkout hardware) with new software (the virtual customer service application).
NEW QUESTION # 404
You want to build an application that will allow customers to register and login. It would be great to have the ability to secure it with multi-factor authentication and the ability to reset credentials. As a small startup, you want to build the main application as quickly as possible and have minimum overhead. Which might be a suitable option for you on Google Cloud?
Answer: A
Explanation:
Cloud Identity Platform
Cloud Identity Platform allows you to manage identity and credentials for your consumer-facing applications.
So that's the right one in this case to use. "Identity Platform is a customer identity and access management (CIAM) platform that helps organizations add identity and access management functionality to their applications, protect user accounts, and scale with confidence on Google Cloud." Reference link- https://cloud.google.com/identity-platform
NEW QUESTION # 405
Your organization is developing an application that will capture a large amount of data from millions of different sensor devices spread all around the world. Your organization needs a database that is suitable for worldwide, high-speed data storage of a large amount of unstructured data.
Which Google Cloud product should your organization choose?
Answer: D
Explanation:
Reference: https://cloud.google.com/bigtable
Cloud Bigtable is a sparsely populated table that can scale to billions of rows and thousands of columns, enabling you to store terabytes or even petabytes of data. A single value in each row is indexed; this value is known as the row key. Bigtable is ideal for storing very large amounts of single-keyed data with very low latency. It supports high read and write throughput at low latency, and it is an ideal data source for MapReduce operations.
Bigtable is exposed to applications through multiple client libraries, including a supported extension to the Apache HBase library for Java. As a result, it integrates with the existing Apache ecosystem of open-source Big Data software.
Bigtable's powerful back-end servers offer several key advantages over a self-managed HBase installation:
Incredible scalability. Bigtable scales in direct proportion to the number of machines in your cluster. A self-managed HBase installation has a design bottleneck that limits the performance after a certain threshold is reached. Bigtable does not have this bottleneck, so you can scale your cluster up to handle more reads and writes.
Simple administration. Bigtable handles upgrades and restarts transparently, and it automatically maintains high data durability. To replicate your data, simply add a second cluster to your instance, and replication starts automatically. No more managing replicas or regions; just design your table schemas, and Bigtable will handle the rest for you.
Cluster resizing without downtime. You can increase the size of a Bigtable cluster for a few hours to handle a large load, then reduce the cluster's size again-all without any downtime. After you change a cluster's size, it typically takes just a few minutes under load for Bigtable to balance performance across all of the nodes in your cluster.
Graphical user interface, text, application, email Description automatically generated
NEW QUESTION # 406
What is an example of unstructured data?
Answer: A
Explanation:
Unstructured data refers to data that does not have a pre-defined data model or schema. Examples include text, images, audio, and video files. Call center transcripts are unstructured data because they are composed of free-form text, which does not follow a specific schema or structure.
Option D: Call center transcripts is correct because it represents unstructured data, as opposed to structured data like customer orders or product ratings.
References:
* Google Cloud: Understanding Unstructured Data
* Google Cloud Storage Solutions: Managing Unstructured Data
NEW QUESTION # 407
An organization has migrated several large databases to the cloud. It wants to increase the value of its data, improve cost controls and strengthen regulatory compliance. What should the organization do?
Answer: A
Explanation:
An effective data governance program helps organizations manage data quality, privacy, and security, ensuring compliance with regulations and optimizing the value derived from data. This approach involves defining policies and procedures for data access, usage, and retention, which improves cost control and strengthens regulatory compliance.
Option B: Establish an effective data governance program is correct because it provides a comprehensive framework for managing data, optimizing value, controlling costs, and ensuring compliance.
Reference:
Google Cloud: Data Governance and Compliance Solutions
Google Cloud Data Management: Best Practices for Data Governance
NEW QUESTION # 408
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