DP-203 Data Engineering on Microsoft Azure dumps with Latest Questions made up good pass marks

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Exam Code: DP-203 Practice test 2023 by Killexams.com team
DP-203 Data Engineering on Microsoft Azure

Test Detail:
The DP-203 exam, Data Engineering on Microsoft Azure, is designed to validate the skills and knowledge of data engineers working with Azure technologies for data storage, processing, and analytics. The test assesses candidates' abilities to design and implement data solutions using various Azure services and tools.

Course Outline:
The course for DP-203 certification covers a wide range of courses related to data engineering on Microsoft Azure. The following is a general outline of the key areas covered:

1. Introduction to Data Engineering on Azure:
- Understanding the role of a data engineer in Azure environments.
- Overview of Azure data services and their capabilities.
- Familiarization with data engineering concepts and best practices.

2. Data Storage and Processing:
- Azure data storage options, including Azure Storage, Azure Data Lake Storage, and Azure SQL Database.
- Implementing data ingestion and transformation using Azure Data Factory.
- Introduction to big data processing with Azure Databricks and HDInsight.

3. Data Orchestration and Integration:
- Implementing data orchestration workflows with Azure Logic Apps.
- Integration of data from various sources using Azure Synapse Pipelines.
- Familiarization with Azure Event Grid and Azure Service Bus for event-driven data processing.

4. Data Governance and Security:
- Implementing data security and compliance measures in Azure.
- Configuring access controls and encryption for data at rest and in transit.
- Understanding data privacy, governance, and auditing in Azure.

5. Data Analytics and Visualization:
- Introduction to Azure Synapse Analytics for data warehousing and analytics.
- Implementing data analytics solutions using Azure Analysis Services and Azure Power BI.
- Familiarization with Azure Machine Learning for predictive analytics and machine learning models.

Exam Objectives:
The DP-203 test evaluates the candidate's knowledge and skills in the following key areas:

1. Designing and implementing data storage solutions on Azure.
2. Implementing data integration and orchestration workflows.
3. Configuring and managing data security and compliance measures.
4. Implementing data processing and analytics solutions.
5. Monitoring, troubleshooting, and optimizing data solutions on Azure.

Exam Syllabus:
The test syllabus for DP-203 provides a detailed breakdown of the courses covered in each test objective. It includes specific tasks, tools, and concepts that candidates should be proficient in. The syllabus may cover the following areas:

- Designing and implementing Azure data storage solutions
- Data ingestion, transformation, and orchestration using Azure Data Factory
- Data security, privacy, and compliance measures on Azure
- Configuring and optimizing data processing workflows
- Implementing data analytics and visualization solutions

Data Engineering on Microsoft Azure
Microsoft Engineering learning
Killexams : Microsoft Engineering learning - BingNews https://killexams.com/pass4sure/exam-detail/DP-203 Search results Killexams : Microsoft Engineering learning - BingNews https://killexams.com/pass4sure/exam-detail/DP-203 https://killexams.com/exam_list/Microsoft Killexams : Great Learning to offer Microsoft Azure and Microsoft Power BI Certifications to its learners
  • Learners can enroll for these Microsoft Certifications with any of the existing programs offered by Great Learning in Cloud Computing, Data Science and Data Engineering.
  • The Microsoft Certification aligned learning paths will be delivered by Great Learning faculty and Microsoft Certified Trainers.
  • Great Learning programs are designed to help learners advance their skills in Microsoft technologies and Azure focused careers and complete the corresponding Microsoft Certification exams.

SEATTLE, July 31, 2023 /PRNewswire/ -- Great Learning, a leading global edtech company for higher education and professional training is collaborating with Microsoft to offer their learners various Microsoft Azure and Microsoft Power BI learning paths aligned to Microsoft Certifications. These 6-week online programs are designed and developed by Microsoft and delivered by Great Learning faculty and Microsoft Certified Trainers. The programs are relevant for young graduates and working professionals aspiring to build careers in high-demand domains such as Cloud Computing, Data Science and Data Engineering.

The relevance of Azure in today's technology landscape cannot be overstated. As businesses increasingly migrate to the cloud, Azure has emerged as a leading cloud infrastructure platform, providing a wide range of services and solutions to meet diverse business needs. Organizations that use Azure gain scalability, agility, and cost-efficiency, enabling them to accelerate innovation and drive digital transformation. The rapid adoption of Azure has created a significant demand for professionals skilled in Azure technologies. These skilling programs aligned to Azure certifications are designed for professionals aspiring to build a career in Cloud Computing and wanting to gain technical skills in Azure-based solutions.

As part of this relationship, Great Learning will initially deliver three Microsoft Certification aligned skilling programs, with plans to expand the offering to include seven more programs throughout the year. Launching immediately are the Azure Fundamentals, Azure Administrator, (as a bolt on with the Great Learning Cloud Computing program) and Power BI Data Analyst programs. The Microsoft Azure Administrator certification is relevant for mid-level professionals in the IT and cloud domain and will provide them with a comprehensive understanding of Azure infrastructure and management tools. Power BI Data Analyst, is designed for young graduates who want to kick-start their career in Data Analytics.

Sharing his views about the collaboration, Mohan Lakhamraju, Founder & CEO, Great Learning said, "We are thrilled to join forces with Microsoft to provide our learners with access to world-class training aligned to Microsoft Certifications. Microsoft Azure is a prominent cloud infrastructure platform, revolutionizing the way businesses operate. However, there is a noticeable dearth of professionals equipped with the necessary skills to effectively leverage the capabilities of Azure. This collaboration will enable professionals at various stages of their careers to get these highly relevant skills and stay ahead in today's competitive job market."

Geoffrey Hirsch, Microsoft Senior Director, Worldwide Learning said, "Great Learning's expertise in professional training aligns to our goal to enable individuals to enhance their skill sets and pursue rewarding careers in the technology industry. We are pleased about this collaboration and the opportunity to offer specialized technical skilling through Great Learning that helps individuals prepare for Microsoft Certifications." 

These certification-aligned programs will be delivered in a unique way under this collaboration. Learners will learn the Microsoft certified content over six weeks with weekly mentorship sessions with Great Learning's expert mentors. They will also have a dedicated program manager to assist and address any challenges faced during the course of the programs. Through this journey, they will also receive test focused simulations and mock tests to prepare them for the certification exam. Upon completion of the program, learners will also obtain certification vouchers to cover the cost of the corresponding certification test fee.

About Great Learning:

Great Learning is a leading global ed-tech company for professional training and higher education. It offers comprehensive, industry-relevant, hands-on learning programs across various business, technology and interdisciplinary domains driving the digital economy. These programs are developed and offered in collaboration with the world's foremost academic institutions like Stanford Graduate School of Business, MIT Professional Education, The University of Texas at Austin, National University of Singapore, Wharton Online, The University of Arizona, Deakin University, IIT-Roorkee, IIIT-Hyderabad & Delhi, and Great Lakes Institute of Management. Great Learning is able to leverage the highly qualified, world-class faculty at these universities together with its vast network of 6200+ industry expert mentors to deliver an unmatched learning experience for over 8.2 million learners from over 170+ countries around the world.

Media Contact

Navami Ajayan
Corporate Communications

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SOURCE Great Learning

© 2023 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

Mon, 31 Jul 2023 02:32:00 -0500 text/html https://www.benzinga.com/pressreleases/23/07/n33470250/great-learning-to-offer-microsoft-azure-and-microsoft-power-bi-certifications-to-its-learners
Killexams : Learn To Reverse Engineer X86_64 Binaries

Opening up things, see how they work, and make them do what you want are just the basic needs of the average hacker. In some cases, a screwdriver and multimeter will do the job, but in other cases a binary blob of random software is all we have to work with. Trying to understand an unknown binary executable is an exciting way to discover a system’s internal functionality.

While the basic principles of software reverse engineering are universal across most platforms, the details can naturally vary for different architectures. In the case of the x86 architecture, [Leonora Tindall] felt that most tutorials on the subject focus mostly on 32-bit and not so much on the 64-bit specifics. Determined to change that, she ended up with an extensive introduction tutorial for reverse engineering x86_64 binaries starting at the very basics, then gradually moving forward using crackme examples. Covering simple string analysis and digging through disassembled binaries to circumvent fictional security, the tutorial later introduces the Radare2 framework.

All example source code is provided in the accompanying GitHub repository, although it is advised to avoid looking at them to keep it more interesting and challenging. And in case you are looking for more challenges later on, or generally prefer a closer connection to the hardware, these MSP430 based capture the flag online challenges might be worth to look at next.

Wed, 16 Aug 2023 11:59:00 -0500 Sven Gregori en-US text/html https://hackaday.com/2018/01/06/getting-acquainted-with-x86_64-binaries/
Killexams : Learning the lessons from cybersecurity trash fires at TC Disrupt 2023 No result found, try new keyword!Only you can prevent cybersecurity trash fires. Learn how with tips from these experts on the Security Stage at TechCrunch Disrupt 2023. Wed, 23 Aug 2023 02:18:00 -0500 en-us text/html https://www.msn.com/ Killexams : Microsoft Engineer Resource

Our Corporate client is actively sourcing for a a skilled Microsoft Engineer Resource to join their team. As a Microsoft Engineer Resource, you will play a crucial role in maintaining, optimizing, and enhancing the Microsoft technology stack to support the organization’s IT infrastructure and operations.

The ideal candidate for this position will have a strong background in Microsoft technologies, including Windows Server, Active Directory, Exchange, SharePoint, and Azure. You should have a deep understanding of system administration, configuration, and troubleshooting within the Microsoft ecosystem.

Desired Skills:

  • Microsoft Power Platform
  • Power Platforms Admin
  • Power App
  • Design
  • Develop
  • Power Automate Desktop flows
  • Power Automate Cloud Flows
  • Power BI report
  • Microsoft Prem Connectors
  • Microsoft Pre Databases
  • CICD
  • DevOps
  • Agile

Learn more/Apply for this position

Sun, 13 Aug 2023 11:59:00 -0500 en-US text/html https://it-online.co.za/2023/08/14/microsoft-engineer-resource/
Killexams : Seven things to know about Responsible AI – Microsoft


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Artificial intelligence is rapidly transforming our world. Whether it’s ChatGPT or the new Bing, our recently announced AI-powered search experience, there has been a lot of excitement about the potential benefits.  
But with all the excitement, naturally there are questions, concerns, and curiosity about this latest development in tech, particularly when it comes to ensuring that AI is used responsibly and ethically. Microsoft’s Chief Responsible AI Officer, Natasha Crampton, was in the UK to meet with policymakers, civil society members, and the tech community to hear perspectives about what matters to them when it comes to AI, and to share more about Microsoft’s approach.  
We spoke with Natasha to understand how her team is working to ensure that a responsible approach to AI development and deployment is at the heart of this step change in how we use technology. Here are seven key insights Natasha shared with us. 
“We’ve been hard at work on these issues since 2017, when we established our research-led Aether committee (Aether is an acronym for AI, Ethics and Effects in Engineering and Research). It was here we really started to go deeper on what these issues really mean for the world. From this, we adopted a set of principles in 2018 to guide our work.  
The Office of Responsible AI was then established in 2019 to ensure we had a comprehensive approach to Responsible AI, much like we do for Privacy, Accessibility, and Security. Since then, we’ve been sharpening our practice, spending a lot of time figuring out what a principle such as accountability actually means in practice.  
We’re then able to give engineering teams concrete guidance on how to fulfil those principles, and we share what we have learned with our customers, as well as broader society.”  
“In the summer of 2022, we received an exciting new model from OpenAI. Straightaway we assembled a group of testers and had people probe the raw model to understand what its capabilities and its limitations were.  
The insights generated from this research helped Microsoft think about what the right mitigations will be when we combine this model with the power of web search. It also helped OpenAI, who are constantly developing their model, to try to bake more safety into them. 
We built new testing pipelines where we thought about the potential harms of the model in a web search context. We then developed systematic approaches to measurement so we could better understand what some of main challenges we could have with this type of technology — one example being what is known as ‘hallucination’, where the model may make up facts that are not actually true.  
By November we’d figured out how we can measure them and then better mitigate them over time. We designed this product with Responsible AI controls at its core, so they’re an inherent part of the product. I’m proud of the way in which the whole responsible AI ecosystem came together to work on it.” 
“Hallucinations are a well-known issue with large language models generally. The main way Microsoft can address them in the Bing product is to ensure the output of the model is grounded in search results.  
This means that the response provided to a user’s query is centred on high-ranking content from the web, and we provide links to websites so that users can learn more.  
Bing ranks web search content by heavily weighting features such as relevance, quality and credibility, and freshness. We consider grounded responses to be responses from the new Bing, in which claims are supported by information contained in input sources, such as web search results from the query, Bing’s knowledge base of fact-checked information, and, for the chat experience, accurate conversational history from a given chat. Ungrounded responses are those in which a claim is not grounded in those input sources.  
We knew there would be new challenges that would emerge when we invited a small group of users to try the new Bing, so we designed the release strategy to be an incremental one so we could learn from early users. We’re grateful for those learnings, as it helps us make the product stronger. Through this process we have put new mitigations in place, and we are continuing to evolve our approach.” 
“In June 2022, we decided to publish the Responsible AI standard. We don’t normally publish our internal standards to the general public, but we believe it is important to share what we’ve learned in this context, and help our customers and partners navigate through what can sometimes be new terrain for them, as much as it is for us.  
When we build tools within Microsoft to help us identify and measure and mitigate responsible AI challenges, we bake those tools into our Azure machine learning (ML) development platform so our customers can also use them for their own benefit. 
For some of our new products built on OpenAI, we’ve developed a safety system so that our customers can take advantage of our innovation and our learnings as opposed to having to build all this tech for themselves from scratch. We want to ensure our customers and partners are empowered to make responsible deployment decisions.” 
“Working on Responsible AI is incredibly multidisciplinary, and I love that. I work with researchers, such as the team at Microsoft UK’s Research Lab in Cambridge, engineers and policy makers. It’s crucial that we have diverse perspectives applied to our work for us to be able to move forward in a responsible way. 
By working with a huge range of people across Microsoft, we harness the full strength of our Responsible AI ecosystem in building these products. It’s been a joy to get our cross-functional teams to a point where we really understand each other’s language. It took time to get to there, but now we can strive toward advancing our shared goals together.  
But it can’t just be people at Microsoft making all the decisions in building this technology. We want to hear outside perspectives on what we’re doing, and how we could do things differently. Whether it’s through user research or ongoing dialogues with civil society groups, it’s essential we’re bringing the everyday experiences of different people into our work.  It’s something we must always be committed to because we can’t build technology that serves the world unless we have open dialogue with the people who are using it and feeling the impacts of it in their lives.” 
“At Microsoft, our mission is to empower every person and every organisation on the planet to achieve more. That means we make sure we’re building technology by humans, for humans. We should really look at this technology as a tool to amplify human potential, not as a substitute.  
On a personal level, AI helps me grapple with vast amounts of information. One of my jobs is to track all regulatory AI developments and help Microsoft develop positions. Being able to use technology to help me summarise large numbers of policy documents quickly enables me to ask follow-up questions to the right people.”
“One of the exciting things about this cutting-edge technology is that we’re really on the frontiers. Naturally there are a range of issues in development that we are dealing with for the very first time, but we’re building on six years of responsible AI work.  
There are still a lot of research questions where we know the right questions to ask, but we don’t necessarily have the right answers in all cases. We will need to continually look around those corners, ask the hard questions, and over time we’ll be able to build up patterns and answers. 
What makes our Responsible AI ecosystem at Microsoft so strong is that we do combine the best of research, policy, and engineering. It’s this three-pronged approach that helps us look around corners and anticipate what’s coming next. It’s an exciting time in technology and I’m very proud of the work my team is doing to bring this next generation of AI tools and services to the world in a responsible way.”  
You’ve seen the technology, you’re hurry to try it out – but how do you ensure responsible AI is a part of your strategy? Here are Natasha’s top three tips: 
Find out more: There are a host of resources, including tools, guides and assessment templates, on Microsoft’s Responsible AI principle hub to help you navigate AI integration ethically.  
Tags: AI, ethics, responsible AI
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Wed, 23 Aug 2023 15:17:00 -0500 Deidre Richardson en-US text/html https://www.inferse.com/690077/seven-things-to-know-about-responsible-ai-microsoft/
Killexams : From ketchup storage to data storage: Microsoft's Pittsburgh team launches large-scale data storage system

In a North Shore building that once warehoused Heinz condiments, Microsoft engineers are building infrastructure that stores a precious commodity: data.

The product today isn’t necessarily physical, like a ketchup bottle, but for big companies, having large-scale, high-performing data storage is “their livelihood,” according to Ron Bianchini, distinguished engineer at Microsoft.

Microsoft’s office, in a five-story brick building on River Avenue on the North Shore, is home to Azure Managed Lustre, a cloud-based, parallel file system for high-performance computing and artificial intelligence workloads.

Lustre itself was an open-source file system developed about 20 years ago by Carnegie Mellon University. Among the early adopters of the massive system are the Department of Energy National Laboratories, including the Los Alamos’ Cielo supercomputer.

The North Shore project integrates the Lustre file system into its offerings with the aim to make it easier for companies to use.

This means clients like Petronas, the Malaysian petroleum giant, can crunch the sonar information that maps out the sea floor to determine the best places to drill.

It’s part of Switzerland-based weather intelligence company Meteomatics technology that collects information from drones, sensors and other gathering points to provide commercial weather forecasting and power output forecasting for wind, solar and hydro companies. Meteomatics is another Lustre client.

It’s not the only player in the field. Amazon Web Services developed its own FSx for Lustre.

Azure Managed Lustre was released for general availability in July. The company expects to see growth, especially as more companies use generative AI and the need for massive storage expands.

The leader behind Microsoft’s project is Bianchini, a serial entrepreneur who has founded several companies, including Avere Systems, a Pittsburgh-based startup that produces computer data storage and data management infrastructure, in 2008. It was acquired by Microsoft in 2018.

After integrating Avere into Microsoft, the company tapped the Pittsburgh team to integrate the open-source Lustre technology, Bianchini said.

Getting the system to general availability status is “extremely exciting,” said Brian Barbisch, principal software engineering manager.

“We created something from scratch and assembled a team together,” Barbisch said. “In the beginning, when you’re a small team, your job titles are erased. You’re starting from scratch, and you’re just doing the next hard thing that comes up, the next thing that needs to be done.”

Bianchini said the work of the universities like Carnegie Mellon, University of Pittsburgh and Penn State in creating an expertise in data storage has helped make the region a hub for the technology. The effort to create that goes back about 40 years, when the National Science Foundation recognized the work being done in the field locally.

“In the ’80s, the NSF granted a data storage center of excellence at CMU.”

“It was a clear recognition that this region has strong intellectual property expertise in data storage,” said Bianchini, who is a CMU graduate, former professor and current board member.

Among the early clients is Duke Clinical Research Institute.

“I think the work that we’re enabling in areas like cancer research, energy exploration — it’s being able to enable that in small companies or large companies that maybe not would have not been able to do this before,” said Brian Lepore, principal program manager. “It’s global and we’re doing it from Pittsburgh.”

Henry Baltazar, a research director with S&P Global Market Intelligence, noted that the demand for high-performance, cloud-based applications has been growing in accurate years, especially as AI and machine learning has become more widely adopted.

“I think that’s why Microsoft is going into a technology such as Lustre — to be able to address some of those new markets that they weren’t really looking at as much in the past,” Baltazar said.

The original Lustre file system “is very well known, but it can be very difficult to manage. With new use cases coming out, especially as we think about things like AI and machine learning, we need those types of performance capabilities now,” Baltazar said. “It’s not just for the rocket scientists or defense contractors. It’s a sign that the need for that technology is moving down the stack.”

Stephanie Ritenbaugh is a Tribune-Review staff writer. You can contact Stephanie at sritenbaugh@triblive.com.

Tue, 22 Aug 2023 22:01:00 -0500 en-US text/html https://triblive.com/local/regional/from-ketchup-storage-to-data-storage-microsofts-pittsburgh-team-launches-large-scale-data-storage-system/
Killexams : Microsoft bans reverse engineering, data scraping of AI services

Microsoft has updated its terms of service to prohibit users from reverse engineering or harvesting data from its AI software.

The new policies, which will come into effect on September 30, also state that users cannot use the AI services to create, train, or Boost other AI services.

Microsoft says the changes are necessary to protect its intellectual property and ensure the responsible use of its AI services. It also said that it will store inputs passed into its AI products as well as any output generated. This means that Microsoft will be able to collect data on how users interact with its AI services.

In addition, Microsoft says users will be held accountable for addressing any third-party claims arising from their use of AI services in compliance with pertinent regulations.

The sources for this piece include an article in TheRegister.

Thu, 17 Aug 2023 00:44:00 -0500 en-US text/html https://www.itworldcanada.com/post/microsoft-bans-reverse-engineering-data-scraping-of-ai-services
Killexams : Learn Software Reverse Engineering: Ghidra Class Videos From HackadayU Now Available!

The HackadayU video series on learning to use Ghidra is now available!

Ghidra is a tool for reverse engineering software binaries — you may remember that it was released as Open Source by the NSA last year. It does an amazing job of turning compiled binaries that tell the computer how to operate into human-readable C code. The catch is that there’s a learning curve to making the most out of what Ghidra gives you. Enter the Introduction to Reverse Engineering with Ghidra class led by Matthew Alt as part of the HackadayU series. This set of four one-hour virtual classroom videos were just made available so that you can take the course at your own pace.

Matthew has actually been schooling us for a while. He’s also known as [wrongbaud] and we’ve been spending a lot of time covering his reverse engineering projects, including the teardowns of NES-on-a-chip hardware and his excellent hacker’s guide to JTAG. His HackadayU class continues that legacy by pulling together course materials for a high-quality hands-on walk through Ghidra. You’ll get a dose of computer architecture, the compilation process, ELF file structure, and x86_64 instructions sets along the way. He’s done a superb job of making example code for the coursework available.

While this was the first HackadayU course, there are more on the way. Anool Mahidharia just finished teaching KiCAD & FreeCAD 101 and videos will be published a soon as the editing process is complete. The fall lineup of classes is shaping up nicely and will be announced soon. As a sneak peak, we have instructors working on classes covering tiny machine learning, a second set of classes on Ghidra reverse engineering, a protocol deep dive (I2C, SPI, one-wire, JTAG etc.), Linux on Raspberry Pi, building interactive art, and all about LEDs, and an intro to design with Rhino. Keep your eye on Hackaday for more info as classes are added to the schedule.

Fri, 18 Aug 2023 12:00:00 -0500 Mike Szczys en-US text/html https://hackaday.com/2020/07/30/learn-software-reverse-engineering-ghidra-class-videos-from-hackadayu-now-available/
Killexams : Big Tech salaries revealed: This is what developers, engineers, and product managers make at Google, Apple, Meta, and Amazon No result found, try new keyword!Big tech salaries unveil earnings of engineers, developers, and product managers at Google, Apple, Amazon, Meta, Microsoft, Uber, and Salesforce. Wed, 23 Aug 2023 04:47:16 -0500 en-us text/html https://www.msn.com/ Killexams : PowerShell? More like PowerHell: Microsoft won't fix flaws in package gallery ripe for supply chain attacks No result found, try new keyword!Updated A trio of PowerShell Gallery design flaws reported to Microsoft almost a year ago remain unfixed, leaving registry users vulnerable to typosquatting and supply chain attacks, according to Aqua ... Fri, 18 Aug 2023 06:49:00 -0500 en-us text/html https://www.msn.com/
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