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Google Cloud Digital Leader Certification Exam is a valuable certification program for professionals who are involved in digital transformation initiatives. It provides an opportunity to demonstrate expertise and knowledge in cloud computing and GCP technologies. Google Cloud Digital Leader certification program is recognized globally and provides a competitive edge to professionals in the job market.

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Google Cloud Digital Leader Certification Exam is a comprehensive exam designed for professionals who want to showcase their knowledge and expertise in cloud computing. Google Cloud Digital Leader certification exam is designed to test the candidate's practical understanding of Google Cloud Platform, its architecture, and related technologies. It is ideal for individuals who are responsible for leading digital transformation initiatives within their organizations.

Google Cloud Digital Leader Sample Questions (Q21-Q26):

NEW QUESTION # 21
Considering Google Cloud Storage different Options which of the following is / are correct on the basis of their real world use cases?

Answer: B

Explanation:
Explanation
Cloud Datastore is the best for semi-structured application data that is used in app engines' applications.
Bigtable is best for analytical data with heavy read/write events like AdTech, Financial or IoT data. Cloud Storage is best for structured and unstructured, binary or object data like images, large media files and backups. SQL is best for web frameworks and in existing applications like storing user credentials and customer orders. Cloud Spanner is best for large scale database applications that are larger than two terabytes; for example, for financial trading and e-commerce use cases. As I mentioned at the beginning of the module, depending on your application, you might use one or several of these services to get the job done.


NEW QUESTION # 22
An organization recently launched a virtual customer support agent, generating vast amounts of text and speech data.
Why should they use a cloud data warehouse to interpret this data?

Answer: B

Explanation:
Real-time data ingestion and updates. A simple and universal solution for continually ingesting your enterprise data into popular cloud-based data warehouses in real time. https://www.qlik.com/us/cloud-data-migration/cloud-data-warehouse


NEW QUESTION # 23
You are looking for a one stop reference page for GCP support. What Page would you se-lect?

Answer: D

Explanation:
Google provides a page that brings together everything needed around support. Its called the Support Hub Reference link- https://cloud.google.com/support-hub


NEW QUESTION # 24
One of your clients is in the retail sector. They have a small team supporting their operations and a small development team taking care of application development. They have heard of the benefits of machine learning, but they do not have the capacity to hire data scientists or the work to retain them. They have a team of analysts who works primarily on BigQuery and knows how to run SQL queries. They want to be able to get into the new age of machine learning and artificial intelligence. What options are available to run on Google Cloud?

Answer: C

Explanation:
BigQuery ML allows you to create ML models using standard SQL queries. Those familiar with BigQuery and ML will be able to create ML models with just a basic understanding of machine learning.
https://cloud.google.com/bigquery-ml/docs/


NEW QUESTION # 25
A startup is planning to create their entire suite of applications on Google Cloud. They are looking at various open source technologies to build applications. One of the considera-tion is about having a well integrated monitoring tool. They have to be able to constantly review load capacity and performance of their applications and virtual machines. What would you advise them to do?

Answer: A

Explanation:
Operations Suite is well integrated into Google and it s the recommended option.
References: https://cloud.google.com/products/operations


NEW QUESTION # 26
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