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The Google Cloud-Digital-Leader exam focuses on the four key areas of digital transformation, such as leadership and culture, data-driven decision-making, business strategy and innovation and, infrastructural automation. Google Cloud Digital Leader certification exam is targeted at professionals who are looking to improve their skills in cloud computing and want to develop a deep understanding of the capabilities of cloud technologies. Google Cloud Digital Leader certification helps to identify individuals that have in-depth knowledge of cloud computing, which can help organizations ensure that they have a team of experts managing their cloud environment.

Google Cloud Digital Leader Certification exam will test candidates' expertise in several areas, including Google Cloud platform fundamentals, cloud computing principles, Google Cloud services, digital transformation, and cloud security. Cloud-Digital-Leader Exam is designed for IT consultants, solution architects, IT managers, and other IT professionals who want to lead digital transformation initiatives using Google Cloud technologies. It is also appropriate for executives and managers who want to understand the basics of cloud computing and digital transformation.

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Google Cloud Digital Leader Sample Questions (Q168-Q173):

NEW QUESTION # 168
A vacation home rental organization wants to predict the popularity of properties in their upcoming busy season. They do not have a data science team, and want to use their in-house database administration skills to create a machine learning model. What should the organization do?

A. Build a model in AutoML using labeled data.
B. Use custom training in Vertex Al with TensorFlow.
C. Integrate pre-trained APIs into their application.
D. Use BigQuery ML and create models using SQL.

Answer: D

Explanation:
The correct answer is B. Use BigQuery ML and create models using SQL. Here's why:
* Context of the Question: The organization wants to predict property popularity for the upcoming busy season but does not have a data science team and relies on in-house database administration skills.
* Google Cloud Product Relevance:
* BigQuery ML enables data analysts and database administrators to build and run machine learning models using SQL queries directly within BigQuery. This makes it accessible to users familiar with SQL, eliminating the need for advanced data science skills.
* BigQuery ML is ideal for this organization since it allows them to leverage their existing SQL skills to build predictive models without the complexity of custom machine learning frameworks or coding in languages like Python.
* Why Not Other Options:
* A. Use custom training in Vertex AI with TensorFlow: This requires expertise in TensorFlow and machine learning, which the organization lacks.
* C. Build a model in AutoML using labeled data: AutoML does simplify the ML model- building process but still requires more knowledge than basic SQL. Also, BigQuery ML allows the use of existing SQL skills, which is preferred in this scenario.
* D. Integrate pre-trained APIs into their application: Pre-trained APIs are suitable for common use cases like image recognition or natural language processing, not for custom predictions based on unique data like property popularity.
Google Cloud Digital Leader References:
* Refer to BigQuery ML documentation for more details on using SQL to create and use ML models.

NEW QUESTION # 169
Your organization is defining the resource hierarchy for its new application in Google Cloud. You need separate development and production environments. The production environment will be deployed in Compute Engine in two regions. Which structure should your organization choose?

A. Create one project for the development environment and one project for the production environment.
B. Create a single project for all environments. Use labels to segregate resources by environment.
C. Create a single project for all environments. Use tags to segregate resources by environment.
D. Create two projects for the development environment and two projects for the production environment (one for each region).

Answer: D

NEW QUESTION # 170
An organization is struggling to meet user demand for change and wants to modernize their legacy applications by moving the applications to the cloud Why would this help the organization satisfy user expectations'?

A. DevOps requires that industry trends be measured and tracked
B. Customer data can be used to offer tailored content
C. Updates can be pushed out more quickly to repair bugs
D. Toil automation helps make automatic updates

Answer: C

Explanation:
Moving legacy applications to the cloud can help organizations satisfy user expectations by enabling them to push out updates more quickly to repair bugs.

NEW QUESTION # 171
You are working for a hospital that stores its medical images in an on-premises data room and it is provided that the hospitals want to use Cloud Storage for archival storage of these images. You are required to design and implement a solution where the hospital wants an automated process to up-load any new medical images to Cloud Storage. On the basis of this statements which of the follow-ing statement is correct.

A. Create a script that uses the gsutil command line interface to synchronize the on-premises storage with Cloud Storage. Schedule the script as a cron job.
B. Deploy a Dataflow job from the batch template, "Datastore to Cloud Storage" Schedule the batch job on the desired interval.
C. In the Cloud Console, go to Cloud Storage. Upload the relevant images to the ap-propriate bucket.
D. Create a Pub/Sub topic, and enable a Cloud Storage trigger for the Pub/Sub topic. Create an application that sends all medical images to the Pub/Sub topic.

Answer: A

Explanation:
Using sync for new images implies that you will continue to use your onprem and keep synchronizing it forever, Sync just once for the old images, new images go directly to google cloud via pub/sub, and eventually get rid of the onprem.

NEW QUESTION # 172
Your organization needs to establish private network connectivity between its on-premises network and its workloads running in Google Cloud. You need to be able to set up the connection as soon as possible.
Which Google Cloud product or feature should you use?

A. Cloud Interconnect
B. Cloud CDN
C. Direct Peering
D. Cloud VPN

Answer: A

Explanation:
Private Google Access for on-premises hosts provides a way for on-premises systems to connect to Google APIs and services by routing traffic through a Cloud VPN tunnel.

NEW QUESTION # 173
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Cloud-Digital-Leader Latest Exam, Cloud-Digital-Leader PDF Guide

Experience The Real Environment With The Help Of Google Cloud-Digital-Leader Exam Questions

Google Cloud Digital Leader Sample Questions (Q168-Q173):

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