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Google Cloud-Digital-Leader Exam Syllabus Topics:

SectionWeightObjectives
Digital Transformation with Google Cloud17%- Digital transformation with Google Cloud
- Why cloud technology is revolutionizing business
Understanding Google Cloud Security and Operations17%- Google Cloud operations
- Google Cloud security
Infrastructure and Application Modernization17%- Modernizing IT infrastructure with Google Cloud
- Modernizing applications with Google Cloud
Innovating with Data and Google Cloud17%- Google Cloud data management solutions
- The value of data

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Google Cloud Digital Leader Sample Questions (Q174-Q179):

NEW QUESTION # 174
An organization's developers are growing increasingly frustrated by the limitations of their on-premises infrastructure.
How would they benefit from leveraging cloud technology?

Answer: A

Explanation:
Explanation
Google cloud have vast majority of products/tools that you can use to innovate. Additionally, there are products in google that scale automatically based from usage (Ex. App Engine, Cloud Run, etc.)


NEW QUESTION # 175
An organization is running SQL Server on-premises and is struggling with capacity and management overhead. They want to modernize this database quickly by using Google products or services What should the organization do?

Answer: B


NEW QUESTION # 176
An organization processes batch sales data at the end of every month to analyze sales trends and derive business insights. They want to improve accuracy and make near real-time decisions. What should the organization do?

Answer: C

Explanation:
The correct answer is B. Switch from batch processing to stream processing. Here's why:
* Context of the Question: The organization processes sales data at the end of every month and wants to make near real-time decisions to improve accuracy and agility.
* Google Cloud Product Relevance:
* Stream processing allows data to be processed as it arrives, enabling real-time analytics and faster decision-making. This would allow the organization to analyze sales trends continuously rather than waiting for monthly batch jobs to complete.
* Google Cloud services like Dataflow support both batch and stream processing, allowing for the transformation and analysis of data in real-time.
* Why Not Other Options:
* A. Filter the data so reports are generated faster: Filtering data may speed up reporting slightly but does not enable near real-time decision-making.
* C. Process batch reports weekly instead of monthly: Processing weekly instead of monthly still doesn't provide the near real-time insights the organization needs.
* D. Change from a relational database to a NoSQL database: This change might improve scalability or flexibility but does not directly address the need for real-time data processing.
Google Cloud Digital Leader References:
* Refer to Google Cloud Dataflow documentation to learn about stream processing capabilities.


NEW QUESTION # 177
A company with its own private data center has called you in for help with their disaster recovery planning.
News of multiple ransomware attacks has made them very anxious. They want to make they are well prepared for such an eventuality. Which of these would be good recommendations?

Answer: A

Explanation:
A single data center is vulnerable. So any option involving that is not good.
Reference Link:- https://www.coresite.com/blog/data-center-redundancy


NEW QUESTION # 178
Your organization is releasing its first publicly available application in Google Cloud. The application is critical to your business and customers and requires a 2-hour SLA.
How should your organization set up support to minimize costs?

Answer: B

Explanation:
Reference:
SecureAuth is dedicated to providing the industry-leading enhanced support ensuring the long term success of your SecureAuth SaaS IAM deployment


NEW QUESTION # 179
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