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Google Cloud-Digital-Leader Exam Syllabus Topics:

SectionObjectives
Google Cloud Security and Operations- Identity and access management basics
- Monitoring, logging, and operations tools
- Security principles in Google Cloud
Data and Artificial Intelligence- Machine learning and AI capabilities overview
- Data analytics fundamentals on Google Cloud
- Data-driven decision making
Infrastructure and Application Modernization- Cloud infrastructure fundamentals
- Compute, storage, and networking basics
- Application modernization approaches
Digital Transformation with Google Cloud- Business value of cloud adoption
- Google Cloud value proposition
- Understanding digital transformation concepts

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Google Cloud Digital Leader Sample Questions (Q377-Q382):

NEW QUESTION # 377
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: B

Explanation:
Reference:
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.


NEW QUESTION # 378
Your organization runs many workloads in different Google Cloud projects, each linked to the same billing account. Each project's workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost.
What should your organization do?

Answer: B

Explanation:
Turn on committed use discount sharing, and create a commitment for the combined usage Sharing your committed use discounts across all your projects reduces the overhead of managing discounts on a per-project basis, and maximizes your savings by pooling all your discounts across your projects' resource usage. If you have multiple projects that share the same Cloud Billing account, you can enable committed use discount sharing so all of your projects within that Cloud Billing account share all of your committed use discount contracts. Your sustained use discounts are also pooled at the same time. That is, sustained use discounts are calculated using the total resources across these projects, rather than just the resources within a single project.
Text Description automatically generated

Reference link- https://cloud.google.com/compute/docs/instances/signing-up-committed-use- discounts#sharing_committed_use_discounts_across_projects


NEW QUESTION # 379
What is a benefit of the OpEx model for cloud security?

Answer: D

Explanation:
The correct answer is B. Organizations do not need to make upfront capital investments in cloud security
. Here's why:
* Context of the Question: The question asks about the benefits of the operational expenditure (OpEx) model for cloud security.
* Google Cloud Product Relevance:
* The OpEx model involves paying for cloud resources and services on a pay-as-you-go basis, avoiding the need for large upfront capital expenditures (CapEx) for security hardware or software.
* In the cloud, security services (such as firewalls, encryption, and monitoring tools) are provided as managed services, which organizations can subscribe to and pay for based on usage. This model allows for more flexibility and scalability in managing security needs and costs.
* Why Not Other Options:
* A. Organizations can deploy custom security hardware: In the cloud, most security needs are met through managed services rather than deploying custom hardware.
* C. Organizations do not need to configure any security settings for cloud resources: This is incorrect, as organizations are responsible for configuring security settings for their applications and data.
* D. The cloud provider guarantees security: The cloud provider guarantees the security of the infrastructure, but the customer is responsible for securing their applications, data, and access controls.
Google Cloud Digital Leader References:
* Refer to Google Cloud's shared responsibility model documentation for more information on OpEx benefits for cloud security.


NEW QUESTION # 380
Your company needs to segment Google Cloud resources used by each team from the others. The teams' efforts are changing frequently, and you need to reduce operational risk and maintain cost visibility. Which approach does Google recommend?

Answer: D

Explanation:
Reference:
The Teams need to segmented to have visibility on the resources each team consumes


NEW QUESTION # 381
Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.
Which Google Cloud product or feature should your organization choose?

Answer: B

Explanation:
Reference: https://cloud.google.com/architecture/predicting-customer-propensity-to-buy


NEW QUESTION # 382
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