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Microsoft AZ-900: Microsoft Azure Fundamentals is an exam that tests your knowledge of cloud computing and Microsoft Azure. Microsoft Azure Fundamentals certification is ideal for professionals who are looking to enhance their skills in the field of cloud computing and cloud services. AZ-900 Exam is an excellent starting point for anyone who wants to become a certified Microsoft Azure professional.
The Microsoft world is changing its dynamics at a fast pace. This trend also impacts the Microsoft AZ-900 certification exam topics. The new topics are added on regular basis in the Microsoft AZ-900 exam syllabus. You need to understand these updated AZ-900 exam topics or any changes in the syllabus. It will help you to not miss a single Microsoft Azure Fundamentals (AZ-900) exam question in the final exam. The Dumpexams understands this problem and offers the perfect solution in the form of Dumpexams AZ-900 updated exam questions.
Microsoft AZ-900 exam is a multiple-choice exam that consists of 40-60 questions. AZ-900 exam is proctored and can be taken either in-person or online. AZ-900 Exam is timed and candidates have 85 minutes to complete the exam. The passing score for the Microsoft AZ-900 exam is 700 out of 1000.
NEW QUESTION # 244
For each of the following statements, select Yes if the statement is true, Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 245
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/virtual-network/network-security-group-how-it-works
NEW QUESTION # 246
How should you calculate the monthly uptime percentage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
"Maximum Available Minutes" is the total accumulated minutes during a billing month .
"Downtime" is the total accumulated minutes that are part of Maximum Available Minutes where a system is unavailable.
"Monthly Uptime Percentage" for a service is calculated as Maximum Available Minutes less Downtime divided by Maximum Available Minutes x 100.
Monthly Uptime Percentage is represented by the following formula:
Monthly Uptime % = (Maximum Available Minutes-Downtime) / Maximum Available Minutes x 100.
References:
https://azure.microsoft.com/en-au/support/legal/sla/cloud-services/v1_0/
NEW QUESTION # 247
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/site-recovery/site-recovery-overview
NEW QUESTION # 248
Drag and Drop Question
Match the Azure services to the correct descriptions.
Instructions: To answer, drag the appropriate Azure service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point
Answer:
Explanation:
Explanation:
Box 1: Azure SQL Synapse Analytics
Azure SQL Synapse Analytics (previously called Data Warehouse) is a cloud-based Platform-as- a-Service (PaaS) offering from Microsoft. It is a large-scale, distributed, MPP (massively parallel processing) relational database technology in the same class of competitors as Amazon Redshift or Snowflake. Azure SQL Synapse Analytics is an important component of the Modern Data Warehouse multi-platform architecture. Because Azure SQL Synapse Analytics is an MPP system with a shared-nothing architecture across distributions, it is meant for large-scale analytical workloads which can take advantage of parallelism.
Box 2:
Azure Machine Learning uses past trainings to provide predictions that have high probability.
Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends. By using machine learning, computers learn without being explicitly programmed.
Forecasts or predictions from machine learning can make apps and devices smarter. For example, when you shop online, machine learning helps recommend other products you might want based on what you've bought.
Box 3:
Azure Functions provides serverless computing functionalities.
Azure Functions is a serverless compute service that lets you run event-triggered code without having to explicitly provision or manage infrastructure.
Box 4:
IoT Hub (Internet of things Hub) provides data from millions of sensors.
IoT Hub is a managed service, hosted in the cloud, that acts as a central message hub for bi- directional communication between your IoT application and the devices it manages. You can use Azure IoT Hub to build IoT solutions with reliable and secure communications between millions of IoT devices and a cloud- hosted solution backend. You can connect virtually any device to IoT Hub.
Reference:
https://azure.microsoft.com/en-gb/services/synapse-analytics/
https://docs.microsoft.com/en-us/azure/machine-learning/overview-what-is-azure-ml
https://docs.microsoft.com/en-us/azure/iot-hub/about-iot-hub
https://docs.microsoft.com/en-us/azure/azure-functions/functions-overview
NEW QUESTION # 249
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