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A new exam AZ-305 is available for Microsoft Certified: Azure Solutions Architect Expert certification,AZ-303 and AZ-304 exams still can be taken until March 31, 2022.PassQuestion provides the latest Azure Solutions Architect Expert AZ-305 Exam Questionswhich will help you to get high score in your Microsoft AZ-305 exam in first attempt. PassQuestion includes only those questions and answers in its Azure Solutions Architect Expert AZ-305 Exam Questions which are highly expected to be asked in actual exam.

Microsoft Certified: Azure Solutions Architect Expert Certification Path Exam AZ-303 and exam AZ-304 will be retired on March 31, 2022. A new exam AZ-305 is available in beta.The Microsoft Certified: Azure Solutions Architect Expert certification will be earned by completing the following requirements: 1.Earn the Microsoft Certified: Azure Administrator Associate certification (AZ-104) and pass Exam AZ-305, or 2.Pass Exam AZ-303 and Exam AZ-304 (before they retire on March 31, 2022), or 3.Pass Exam AZ-303 (before it retires on March 31, 2022) and Exam AZ-305

Designing Microsoft Azure Infrastructure Solutions (AZ-305) 

Candidates for this exam should have advanced experience and knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. A professional in this role should manage how decisions in each area affect an overall solution. In addition, they should have experience in Azure administration, Azure development, and DevOps processes.

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You have 100 servers that run Windows Server 2012 R2 and host Microsoft SQL Server 2012 R2 instances. The instances host databases that have the following characteristics: The largest database is currently 3 TB. None of the databases will ever exceed 4 TB. Stored procedures are implemented by using CLR. You plan to move all the data from SQL Server to Azure. You need to recommend an Azure service to host the databases. The solution must meet the following requirements: Whenever possible, minimize management overhead for the migrated databases. Minimize the number of database changes required to facilitate the migration. Ensure that users can authenticate by using their Active Directory credentials. What should you include in the recommendation? A.Azure SQL Database single databases B.Azure SQL Database Managed Instance C.Azure SQL Database elastic pools D.SQL Server 2016 on Azure virtual machines Answer: BYou have an Azure subscription that contains an Azure Blob storage account named store1. You have an on-premises file server named Setver1 that runs Windows Sewer 2016. Server1 stores 500 GB of company files. You need to store a copy of the company files from Server 1 in store1. Which two possible Azure services achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point A.an Azure Batch account B.an integration account C.an On-premises data gateway D.an Azure Import/Export job E.Azure Data factory Answer: DEYou have an Azure subscription that contains two applications named App1 and App2. App1 is a sales processing application. When a transaction in App1 requires shipping, a message is added to an Azure Storage account queue, and then App2 listens to the queue for relevant transactions. In the future, additional applications will be added that will process some of the shipping requests based on the specific details of the transactions. You need to recommend a replacement for the storage account queue to ensure that each additional application will be able to read the relevant transactions. What should you recommend? A.one Azure Service Bus queue B.one Azure Service Bus topic C.one Azure Data Factory pipeline D.multiple storage account queues Answer : BThe application will host video files that range from 50 MB to 12 GB. The application will use certificate-based authentication and will be available to users on the internet. You need to recommend a storage option for the video files. The solution must provide the fastest read performance and must minimize storage costs. What should you recommend? A.Azure Files B.Azure Data Lake Storage Gen2 C.Azure Blob Storage D.Azure SQL Database

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Designing Microsoft Azure Infrastructure Solutions (AZ-305)

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You have 100 servers that run Windows Server 2012 R2 and host Microsoft SQL Server 2012 R2 instances. The instances host databases that have the following characteristics: The largest database is currently 3 TB. None of the databases will ever exceed 4 TB. Stored procedures are implemented by using CLR. You plan to move all the data from SQL Server to Azure. You need to recommend an Azure service to host the databases. The solution must meet the following requirements: Whenever possible, minimize management overhead for the migrated databases. Minimize the number of database changes required to facilitate the migration. Ensure that users can authenticate by using their Active Directory credentials. What should you include in the recommendation? A.Azure SQL Database single databases B.Azure SQL Database Managed Instance C.Azure SQL Database elastic pools D.SQL Server 2016 on Azure virtual machines Answer: B

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You ate designing a SQL database solution. The solution will include 20 databases that will be 20 GB each and have varying usage patterns. You need to recommend a database platform to host the databases. The solution must meet the following requirements: * The compute resources allocated to the databases must scale dynamically. * The solution must meet an SLA of 99.99% uptime. * The solution must have reserved capacity. * Compute charges must be minimized. What should you include in the recommendation? A.20 databases on a Microsoft SQL server that runs on an Azure virtual machine B.20 instances of Azure SQL Database serverless C.20 databases on a Microsoft SQL server that runs on an Azure virtual machine in an availability set D.an elastic pool that contains 20 Azure SQL databases Answer: D

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According to Indeed, demand for AI skills has more than doubled over the last three years. Job postings have gone up by 119%. Today, training an image-processing algorithm can be done within minutes, earlier the same task used to take hours. Compared to the number of job postings available there is a shortage of skilled labour available with the necessary skills. A few skills that one must learn before deep diving into an AI Career are Bayesian Networking and Neural Nets, Computer Science (coding experience with programming languages), Physics, Robotics, and various levels of math such as calculus and statistics. If you’re interested in building a career in AI, you should be aware of the various job roles available in this field. Let’s take a closer look at the different job roles in the world of AI and what skills one must possess for each job role-

Machine Learning Engineer

The role of a Machine Learning Engineer is suitable for someone who hails from a Data Science or applied research background. S/he must also be able to demonstrate a thorough understanding of multiple programming languages. S/he Should be able to apply predictive models and leverage NLP when working with enormous datasets. Familiarity with software development IDE tools such as Eclipse and IntelliJ is important too. Machine Learning Engineers are mostly responsible for building and managing platforms for various ML projects. The annual median salary of an ML Engineer is said to be $114,856. Companies typically hire individuals who have a master’s degree and in-depth knowledge about Java, Python, and Scala. Skill requirements may vary from one company to another, but analytical skills and experience with cloud applications is a plus.

Data Scientist

Collecting, analyzing, and interpreting large & complex datasets by leveraging ML and predictive analytics is one of the main tasks of a Data Scientist. Data Scientists also help in developing algorithms that enable collecting and cleaning data for analysis. The annual median salary of a Data Scientist is $120,931 and the skills required are as follows-

Hive

Hadoop

MapReduce

Pig

Spark

Python

Scala

SQL

Although the skills required may vary from one company to another, most companies require a master’s or doctoral degree in computer science. For a Data Scientist who wants to become an AI developer, an advanced computer science degree would triumph. Apart from the ability to understand unstructured data, s/he must have strong analytical and communication skills to help communicate findings with business leaders.

Business Intelligence Developer

A career in AI also includes the position of Business Intelligence (BI) developer. One of the main objectives of this role is to analyze complex datasets that will help identify business and market trends. A BI developer earns an annual median salary of $92,278. Some of the responsibilities of a BI developer include designing, modeling, and maintaining complex data in cloud-based data platforms. If you’re interested in this role, you must have strong technical as well as analytical skills. You should be able to communicate solutions to colleagues who don’t possess technical knowledge and display problem-solving skills. A BI developer is required to have a bachelor’s degree in any related field. Work experience or certifications are highly desired as well. Skills required would be data mining, SQL queries, SQL server reporting services, BI technologies, and data warehouse design.

Research Scientist

A research scientist is one of the leading careers in Artificial Intelligence. S/he should be an expert in multiple disciplines such as applied mathematics, deep learning, machine learning, and computational statistics. Candidates must have extensive knowledge concerning computer perception, graphical models, reinforcement learning, and NLP. Similar to Data Scientists, a research scientist is expected to have a master’s or doctoral degree in computer science. The annual median salary is said to be $99,809. Most companies are on the lookout for someone who has an in-depth understanding of parallel computing, distributed computing, benchmarking and machine learning.

Big Data Engineer/Architect

Among the various jobs under the field of AI, Big Data Engineer/Architects have the best-paying job with an annual median salary of $151,307. They play a vital role in the development of an ecosystem that enables business systems to communicate with each other and collate data. When compared to Data Scientists, Big data Architects or Engineers are typically given tasks related to planning, designing, and developing the big data environment on Spark and Hadoop. Companies look to hire individuals who demonstrate experience in C++, Java, Python, and Scala. Data mining, data visualization, and data migration skills are an advantage. A Ph.D. in mathematics or any related computer science field would be a bonus.

Future of Artificial Intelligence

As humans, we have always been fascinated by technological changes and fiction, right now, we are living amidst the greatest advancements in our history. Artificial Intelligence has emerged to be the next big thing in the field of technology. Organizations across the world are coming up with breakthrough innovations in artificial intelligence and machine learning. Artificial intelligence is not only impacting the future of every industry and every human being but has also acted as the main driver of emerging technologies like big data, robotics and IoT. Considering its growth rate, it will continue to act as a technological innovator for the foreseeable future. Hence, there are immense opportunities for trained and certified professionals to enter a rewarding career. As these technologies continue to grow, they will have more and more impact on the social setting and quality of life.

Getting certified in AI will give you an edge over the other aspirants in this industry. With advancements such as Facial Recognition, AI in Healthcare, Chat-bots, and more, now is the time to build a path to a successful career in Artificial Intelligence. Virtual assistants have already made their way into everyday life, helping us save time and energy. Self-driving cars by Tech giants like Tesla have already shown us the first step to the future. AI can help reduce and predict the risks of climate change, allowing us to make a difference before it’s too late. And all of these advancements are only the beginning, there’s so much more to come. 133 million new Artificial Intelligence jobs are said to be created by Artificial Intelligence by the year 2022.

If you are interested in the domain of AI and want to learn more about the subject, check out Great Learning’s PG program in Artificial Intelligence and Machine Learning.