[2026] Use Real Google Dumps - 100% Free Cloud-Digital-Leader Exam Dumps
Realistic Cloud-Digital-Leader Dumps Latest Google Practice Tests Dumps
NEW QUESTION # 150
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. Direct Peering
- C. Cloud VPN
- D. Cloud CDN
Answer: A
Explanation:
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.
Reference: https://cloud.google.com/vpc/docs/configure-private-google-access-hybrid
NEW QUESTION # 151
Your company has recently acquired three growing startups in three different countries. You want to reduce overhead in infrastructure management and keep your costs low without sacrificing security and quality of service to your customers.
How should you meet these requirements?
- A. Host all your subsidiaries' services on-premises together with your existing services.
- B. Build a homogenous infrastructure at each subsidiary, and invest in hiring more engineers.
- C. Build a homogenous infrastructure at each subsidiary, and invest in training their engineers.
- D. Host all your subsidiaries' services together with your existing services on the public cloud.
Answer: D
Explanation:
Explanation
Host all your subsidiaries' services together with your existing services on the public cloud.
NEW QUESTION # 152
An organization supplies electric car chargers in a nationwide network. They store customer and charging data in BigQuery. They want to efficiently upgrade and maintain their network to reduce waste and achieve their sustainability goals. How can Google Cloud services help the organization?
- A. Provide access to third-party developers by creating an API using Apigee.
- B. Create a model in BiaQuery to Dredict future maintenance schedules.
- C. Secure data access by using Identity and Access Management.
- D. Move data from BigQuery to Cloud Storage to reduce storage costs.
Answer: B
Explanation:
The correct answer is D. Create a model in BigQuery to predict future maintenance schedules. Here's why:
Context of the Questio n : The organization wants to use Google Cloud services to efficiently upgrade and maintain their network to reduce waste and achieve sustainability goals.
Google Cloud Product Relevance:
BigQuery is a fully managed data warehouse that supports SQL queries for analyzing large datasets. It also has built-in machine learning capabilities (BigQuery ML) that allow users to create and train models directly within the database using SQL.
By creating a predictive model in BigQuery, the organization can analyze historical data to forecast future maintenance needs, optimize upgrade schedules, and minimize waste, aligning with their sustainability goals.
Why Not Other Options:
A . Secure data access by using Identity and Access Management: While IAM is important for securing access, it does not directly help with maintenance prediction or sustainability goals.
B . Move data from BigQuery to Cloud Storage to reduce storage costs: This option focuses on cost savings, not on improving operational efficiency or achieving sustainability goals.
C . Provide access to third-party developers by creating an API using Apigee: This is not directly related to the goal of optimizing maintenance and reducing waste.
Google Cloud Digital Leader Reference:
Refer to BigQuery ML documentation to learn how to create and use machine learning models within BigQuery.
NEW QUESTION # 153
A manufacturing organization has a large collection of images labeled as intact or defective parts. They want to use this data to build a simple solution to detect faulty parts on their production line. They have no data science expertise. Which solution should they use?
- A. AutoML
- B. Discovery Al for Retail
- C. Document Al
- D. Pre-trainedAPIs
Answer: A
Explanation:
The correct answer is D. AutoML. Here's why:
* Context of the Question: The organization wants to build a solution to detect faulty parts on a production line using a large collection of labeled images (intact or defective parts). They do not have data science expertise, so they need a tool that simplifies the machine learning process.
* Google Cloud Product Relevance:
* AutoML is a suite of machine learning products that allows users to build custom models easily without needing deep expertise in machine learning or data science. It is designed to simplify the process of training, evaluating, and deploying models, especially in cases like image recognition where labeled datasets are already available.
* AutoML Vision, a part of AutoML, would be ideal for this use case as it specifically handles image classification and can easily differentiate between intact and defective parts.
* Why Not Other Options:
* A. Discovery AI for Retail: This is a solution tailored for retail use cases like product discovery and search optimization, not for manufacturing defect detection.
* B. Pre-trained APIs: While pre-trained APIs (like Vision API) can recognize general image patterns, they may not be specific enough for a custom use case like detecting defective parts.
* C. Document AI: This service is designed for understanding and processing documents, not for analyzing images.
Google Cloud Digital Leader References:
* For more information on AutoML, refer to the AutoML Vision documentation.
NEW QUESTION # 154
Your organization needs to plan its cloud infrastructure expenditures.
Which should your organization do?
- A. If your organization uses only cloud resources, infrastructure costs are no longer part of your overall budget
- B. Involve fewer people in cloud resource planning than your organization did for on-premises resource planning
- C. Review cloud resource costs frequently, because costs change often based on use
- D. Review cloud resource costs annually as part of planning your organization's overall budget
Answer: D
NEW QUESTION # 155
How does a least privilege resource access model contribute to cloud security?
- A. Employees may only access on-premises software with special permission.
- B. Only managers and other senior employees have cloud resource access.
- C. Google is responsible for determining access to cloud resources.
- D. Employees only have access to the cloud resources necessary for their job.
Answer: D
Explanation:
Explanation
This is the definition of a least privilege model.
A supporting principle that helps organizations achieve these goals is the principle of least privilege. The principle of least privilege addresses access control and states that an individual should have only the minimum access privileges necessary to perform a specific job or task and nothing more
NEW QUESTION # 156
An organization wants to analyze data in a data warehouse. How should they proceed?
- A. Choose a system to store structured and semi-structured data that supports ad-hoc analysis and custom reporting.
- B. Import data into a semi-structured time-series database.
- C. Ensure data is stored in structured tables and rows to support transactional queries and relationships.
- D. Copy unstructured data into a single large object store.
Answer: A
Explanation:
To analyze data in a data warehouse, the organization should use a system that can handle both structured and semi-structured data while supporting ad-hoc analysis and custom reporting. A data warehouse like BigQuery is designed to efficiently store and query large amounts of structured and semi-structured data, allowing for flexible and real-time analytical queries.
Option A: Choose a system to store structured and semi-structured data that supports ad-hoc analysis and custom reporting is correct because it aligns with the capabilities needed for effective data warehousing and analysis.
References:
* Google Cloud BigQuery: Data Warehousing and Analysis
* Google Cloud Data Solutions: Ad-hoc Analysis and Reporting Tools
NEW QUESTION # 157
Your client is building a custom machine learning pipeline to identify lesions in the lungs based on x-rays.
Different teams of data scientists are sharing common source data and building many ver-sions of ML models. Which of these Cloud Storage options would be best for them?
- A. Retain the data in use in a single region bucket with nearline storage. Retain the data in use in a dual- region bucket.
- B. Retain the data in use in a multi-region bucket.
- C. Retain the data in use in a dual-region bucket.
- D. Retain the data in use in a single region bucket with standard storage.
Answer: D
Explanation:
Integrated repository for analytics and ML: The highest level of availability and performance within a single region is ideal for compute, analytics, and machine learning workloads in a particular region. Cloud Storage is also strongly consistent, giving you confidence and accuracy in analytics workloads.
Table Description automatically generated with medium confidence
https://cloud.google.com/storage/docs/storage-classes
NEW QUESTION # 158
You're negotiating SLAs with a customer. You have communicated that there will be a 99.99% (four 9s) availability for the service you are providing. Every aspect of the service is under your con-trol. They want to modify the reliability to 99.999% (five 9s). What do you tell them? (Choose two answer)
- A. Yes, that could be possible. If yes, there will be a significantly higher charge be-cause the effort is significantly higher too.
- B. Yes, that is possible, but there will be an additional charge of 9% for the service because that is the additional effort required.
- C. Ask them for the reasonable downtime they are willing to absorb. If it is more than 60 minutes in an entire year, explain how the current SLA meets that requirement.
- D. Yes, that is possible. There is hardly any difference to provide another 0.009% availability.
Answer: A,C
Explanation:
In many cases, customers might not know the implications of the 9s with respect to scheduled maintenance, upgrades, etc. It's possible that they are holding unnecessary expectations that significantly exceed their requirements.
-> Even though 0.0009 % increase it looks like a small increment, an addition of a single 9 reduces the possible downtime by 10 times. So the effort is often much greater.
Reference link- https://en.wikipedia.org/wiki/High_availability
NEW QUESTION # 159
Your customer has a reporting tool that is only occasionally used by the leadership team. Usage of it is frequent - once a week, once a month, or once the quarter. They want to run this application in a cost-effective manner. What are the compute options available on Google Cloud which would be suitable? (Choose Two answer)
- A. Cloud App Engine Standard
- B. Cloud Run
- C. Compute Engine
- D. Kubernetes Engine
Answer: A,B
Explanation:
Explanation
Since the use of the tool is infrequent/intermittent, you can choose to compute options that are serverless. Both Cloud Run and Cloud App Engine Standard are serverless options that can shut down to zero. Since cost-effectiveness is a requirement, this will not cost anything during the periods it is not used.
NEW QUESTION # 160
Which of the following statements describe the features of a preemptible VM in-stance? (Select Three Answer)
- A. Can be pre-empted with a 30 minute notice
- B. Can use free tier credits
- C. Instance is alive for no more than 24 hours
- D. Instance is alive for no more than 12 hours
- E. Discounted Significantly
- F. Can be pre-empted with a 30 second notice
Answer: C,E,F
Explanation:
Explanation
Instance is alive for no more than 24 hours, Can be pre-empted with a 30 second notice, Discounted Significantly.
Preemptible VM is an instance that you can create and run at a lower cost than normal instances.
However, Compute Engine might stop (pre-empt) these instances if it requires access to those resources for other tasks. Preemptible instances are excess Compute Engine capacity, so their availability varies with usage.
Live at most 24 hours Can be pre-empted with a 30 second notification via API and are Discounted significantly Reference link- https://cloud.google.com/compute/docs/instances/preemptible
NEW QUESTION # 161
How is privacy defined in the context of cloud technology?
- A. Compliance with regulatory standards
- B. Procedures to authenticate user identity
- C. Restrictions on data access and sharing
- D. Susceptibility to data breaches and cyber attacks
Answer: C
NEW QUESTION # 162
What are the network requirements for Private Google Access?
- A. None of the Above
- B. Private Google Access automatically enables any API.
- C. Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.
- D. Both A and B
Answer: C
Explanation:
Network requirements for Private Google Access:
- Because Private Google Access is enabled on a per-subnet basis, you must use a VPC network. Legacy networks are not supported because they don't support subnets.
- Private Google Access does not automatically enable any API. You must separately enable the Google APIs you need to use via the APIs & services page in the Google Cloud Console.
- If you use the private.googleapis.com or the restricted.googleapis.com domain names, you'll need to create DNS records to direct traffic to the IP addresses associated with those domains.
- Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.
These routes must use the default internet gateway next hop. If you use the private.googleapis.com or the restricted.googleapis.com domain names, you only need one route (per domain). Otherwise, you'll need to create multiple routes.
- Egress firewalls must permit traffic to the IP address ranges used by Google APIs and services. The implied allow egress firewall rule satisfies this requirement. For other ways to meet the firewall requirement.
NEW QUESTION # 163
What is a defining function of streaming analytics?
- A. Accessing data with high latency
- B. Processing data records continuously
- C. Processing a one-off data backfill
- D. Processing data records in batches
Answer: B
Explanation:
Streaming analytics is the real-time processing of data as it is ingested. The defining function of streaming analytics is to process data records continuously, as opposed to batch processing, which handles data in large chunks at intervals. Streaming analytics allows for immediate insights and actions based on live data.
Option B: Processing data records continuously is correct because it describes the fundamental nature of streaming analytics: it analyzes data streams as they come in, enabling real-time analysis, monitoring, and decision-making.
Reference:
Google Cloud Documentation on Dataflow: Real-Time Stream Processing
Google Cloud Platform's Big Data Solutions: Stream Analytics
NEW QUESTION # 164
Your client has an on-premises data center. Due to technical limitations, they are unable to scale globally.
They have decided to adopt the public cloud. However, they don't want to locked into any one vendor and, therefore, would like to work with multiple cloud providers. They have used open source container technologies and would like to continue using them.
- A. Kubernetes that runs containers as their core workloads
- B. Anthos that runs containers as their core workloads
- C. AppEngine Flexible Environment which supports containers
- D. Cloud Run which supports containers and can scale in a serverless fashion
Answer: B
Explanation:
Explanation
Anthos unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds with a Google Cloud-backed control plane for consistent operation at scale.
NEW QUESTION # 165
......
Cloud-Digital-Leader Dumps PDF - Cloud-Digital-Leader Real Exam Questions Answers: https://pass4sure.prep4cram.com/Cloud-Digital-Leader-exam-cram.html
