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Microsoft DA-100 : Analyzing Data with Microsoft Power BI Exam

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Exam Number : DA-100
Exam Name : Analyzing Data with Microsoft Power BI
Vendor Name : Microsoft
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DA-100 test Format | DA-100 Course Contents | DA-100 Course Outline | DA-100 test Syllabus | DA-100 test Objectives

Exam Number : DA-100
Exam Name : Analyzing Data with Microsoft Power BI

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Skills Gained
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI

- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.

Course outline
Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.

Data Analytics and Microsoft
Getting Started with Power BI
Lab : Getting Started
Getting Started
After completing this module, you will be able to:

Explore the different roles in data
Identify the tasks that are performed by a data analyst
Describe the Power BI landscape of products and services
Use the Power BI service
Module 2: Prepare Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of connecting directly to data vs. importing it.
Get data from various data sources
Optimize performance
Resolve data errors
Lab : Preparing Data in Power BI Desktop
Prepare Data

After completing this module, you will be able to:

Identify and retrieve data from different data sources
Understand the connection methods and their performance implications
Optimize query performance
Resolve data import errors
Module 3: Clean, Transform, and Load Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

Data shaping
Enhance the data structure
Data Profiling
Lab : Transforming and Loading Data
Loading Data

After completing this module, students will be able to:

Apply data shape transformations
Enhance the structure of the data
Profile and examine the data
Module 4: Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.

Introduction to data modeling
Working with tables
Dimensions and Hierarchies
Lab : Data Modeling in Power BI Desktop
Create Model Relationships
Configure Tables
Review the model interface
Create Quick Measures
Lab : Advanced Data Modeling in Power BI Desktop
Configure many-to-many relationships
Enforce row-level security

After completing this module, you will be able to:

Understand the basics of data modeling
Define relationships and their cardinality
Implement Dimensions and Hierarchies
Create histograms and rankings
Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

Introduction to DAX
DAX context
Advanced DAX
Lab : Introduction to DAX in Power BI Desktop
Create calculated tables
Create calculated columns
Create measures
Lab : Advanced DAX in Power BI Desktop
Use the CALCULATE() function to manipulate filter context
use Time Intelligence functions

After completing this module, you will be able to:

Understand DAX
Use DAX for simple formulas and expressions
Create calculated tables and measures
Build simple measures
Work with Time Intelligence and Key Performance Indicators
Module 6: Optimize Model Performance
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.

Optimze the model for performance
Optimize DirectQuery Models
Create and manage Aggregations

After completing this module, you will be able to:

Understand the importance of variables
Enhance the data model
Optimize the storage model
Implement aggregations
Module 7: Create Reports
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important course of designing for accessibility is also covered.

Design a report
Enhance the report
Lab : Designing a report in Power BI
Create a live connection in Power BI Desktop
Design a report
Configure visual fields adn format properties
Lab : Enhancing Power BI reports with interaction and formatting
Create and configure Sync Slicers
Create a drillthrough page
Apply conditional formatting
Create and use Bookmarks

After completing this module, you will be able to:

Design a report page layout
Select and add effective visualizations
Add basic report functionality
Add report navigation and interactions
Improve report performance
Design for accessibility
Module 8: Create Dashboards
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.

Create a Dashboard
Real-time Dashboards
Enhance a Dashboard
Lab : Designing a report in Power BI Desktop - Part 1
Create a Dashboard
Pin visuals to a Dashboard
Configure a Dashboard tile alert
Use study guide to create a dashboard tile

After completing this module, students will be able to:

Create a Dashboard
Understand real-time Dashboards
Enhance Dashboard usability
Module 9: Create Paginated Reports in Power BI
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.

Paginated report overview
Create Paginated reports
Lab : Creating a Paginated report
Use Power BI Report Builder
Design a multi-page report layout
Define a data source
Define a dataset
Create a report parameter
Export a report to PDF

After completing this module, you will be able to:

Explain paginated reports
Create a paginated report
Create and configure a data source and dataset
Work with charts and tables
Publish a report
Module 10: Perform Advanced Analytics
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for real data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.

Advanced Analytics
Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop
Create animated scatter charts
Use teh visual to forecast values
Work with Decomposition Tree visual
Work with the Key Influencers visual

After completing this module, you will be able to:

Explore statistical summary
Use the Analyze feature
Identify outliers in data
Conduct time-series analysis
Use the AI visuals
Use the Advanced Analytics custom visual
Module 11: Create and Manage Workspaces
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.

Creating Workspaces
Sharing and Managing Assets
Lab : Publishing and Sharing Power BI Content
Map security principals to dataset roles
Share a dashboard
Publish an App

After completing this module, you will be able to:

Create and manage a workspace
Understand workspace collaboration
Monitor workspace usage and performance
Distribute an App
Module 12: Manage Datasets in Power BI
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.


After completing this module, you will be able to:

Create and work with parameters
Manage datasets
Configure dataset refresh
Troubleshoot gateway connectivity
Module 13: Row-level security
This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.

Security in Power BI

After completing this module, you will be able to:

Understand the aspects of Power BI security
Configure row-level security roles and group memberships

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Microsoft Data Practice Questions

Seven information collaborations chosen for 2nd peer-getting to know network | DA-100 test Cram and cheat sheet

The ODI has chosen seven established organizations who steward open information to receive funding and advice from the ODI and Microsoft.

In August they posted an open call in partnership with Microsoft for a peer-researching community for mature organisations who steward open information. Experimenting with distinct strategies to amassing, preserving or sharing facts will also be problematic; the community’s aim is for those concerned to gain knowledge of from the journey and knowledge of others.

Our method

final 12 months they partnered with Microsoft to launch its Open records crusade, which goals to tackle the information divide and support businesses of all sizes to comprehend the advantages of statistics and the brand new applied sciences it powers.

We additionally ran their first peer-gaining knowledge of network for early-stage statistics collaborations. Now, we’re launching the 2d cohort of their peer-getting to know community to convene mature enterprises whose intention is to steward open statistics that anyone can access, use and share (which we’re terming ‘Open X organisations’). they are providing abilities-sharing alternatives and different help from the ODI and Microsoft – in the end enabling the cohort to greater without difficulty handle the challenges they face.

To begin, they began with a consumer research part – conducting interviews with over 20 organisations who expressed hobby within the network. all through the interviews they requested candidates questions on their organisational ambitions, their existing peers and networks, and the way they might most effective tailor a peer-researching community to help Open X businesses.

The interviews gave us an outstanding understanding of the challenges these enterprises face, and the limitations to persisted entry to open data. whereas the listing is much higher, we’ve chosen 4 of the most pressing concerns to examine extra through their second peer-studying network. The questions we’ll be asking throughout the community include:

  • what is the cost and impact of open facts on americans’s lives?
  • How do you enhance the appropriate governance model for Open X organisations?
  • How do you strengthen a sustainable business model with out compromising commitments to open information?
  • What are the challenges of making facts attainable to a wider audience?
  • We’ll be investigating and unpacking these questions through a sequence of roundtable discussions with eight participating companies.

    The participants

    After an in depth interview procedure, the Microsoft and ODI teams chose seven businesses that they felt had essentially the most in common, in addition to experience to present on the chosen challenges for exploration.

    These are:

    global Biodiversity information Facility (GBIF)

    The international Biodiversity suggestions Facility (GBIF) is an international network and information infrastructure funded by means of the world’s governments and geared toward proposing any person, any place, open entry to statistics about all types of existence on the earth. nowadays, pretty much 2 billion statistics documenting facts of species occurrence are available on GBIF.org, starting to be daily and originating from greater than 1,seven hundred associations international.

    Coordinated via its secretariat in Copenhagen, the GBIF community of taking part international locations and enterprises provide records-holding associations everywhere with common requisites and open-source equipment that allow them to share tips capturing facts of the place and when species were recorded. This potential derives from many sources, together with everything from museum specimens amassed within the 18th and nineteenth centuries to geotagged smartphone photos shared by amateur naturalists in latest days and weeks.

    The GBIF community draws all these sources collectively through the use of overtly developed data standards, similar to Darwin Core, which forms the groundwork for almost all of GBIF.org’s index of tons of of hundreds of thousands of species prevalence records. Publishers provide open access to their datasets the usage of desktop-readable artistic Commons licence designations, allowing scientists, researchers and others to apply the information in a whole bunch of peer-reviewed publications and coverage papers each yr – currently GBIF facts is mentioned in additional than three papers per day. many of these analyses – which cover syllabus from the affects of climate trade and the spread of invasive and alien pests to priorities for conservation and guarded areas, meals safety and human fitness – would not be possible without this.

    Tim Robertson, Head of Informatics, GBIF says:

    At GBIF we’re committed to working overtly – brazenly licensed statistics, open development of software and requisites and open discussion round their shared priorities and roadmap. Peer getting to know and mentoring underpin the building of their community.

    As they coordinate this international dialogue they deal with large ranging challenges comparable to language and technical boundaries, biases in records and funding alternatives, constructing potential without difficulty and fairly across the network, contract on average information fashions and navigating the more and more complex world of huge statistics technologies.

    We’re principally eager to compare their methods to these challenges and gain knowledge of from other like-minded organisations.

    MetaBrainz groundwork

    The MetaBrainz foundation is a non-profit organization that believes in free, open access to statistics. It has been install to build neighborhood-maintained databases and make them available within the public area or beneath inventive Commons licences. Their tasks consist of MusicBrainz the track encyclopedia, ListenBrainz, AcousticBrainz, BookBrainz and CritiqueBrainz.

    MetaBrainz’s records is more often than not gathered by means of volunteers and validated through peer evaluation to be sure it's consistent and correct. All non-industrial use of this facts is free, but industrial users are requested to assist fund the venture. MetaBrainz encourages all facts users to make contributions to the statistics gathering method in order that their facts can be as comprehensive as possible.

    The MetaBrainz basis believes in transparent budget and is supported by conclusion consumer donations and sponsors who supply dollars in order for the foundation to achieve its desires. The basis additionally has a couple of business supporters who make use of their data sets.

    Robert Kaye, government Director, MetraBrainz groundwork says:

    I’m longing for researching from others how they have got overcome regular challenges within the open facts area, specially with admire to coping with freeloaders who refuse to aid the statistics commons. I’m also very excited to be in a position to share two decades of adventure with different tasks.

    Open attire Registry

    The Open attire Registry (OAR) is a impartial, open-supply tool mapping garment amenities global and allocating a unique identity to each and every. statistics in the tool is contributed and used by way of corporations all over the area, including principal international brands, civil society businesses, multi-stakeholder initiatives, certification schemes, factory businesses and more. as well as many other effectivity and method benefits, the style the OAR organises and items facts in the end improves the lives of one of the most vulnerable people working in global deliver chains.

    Powered by using a complicated name-and-handle-matching algorithm, the OAR creates one common, open registry of global facility names and addresses, with an industry standard facility id. These OAR IDs do not exchange any latest id schema, somewhat they function a ‘vital supply of fact’, enabling interoperability throughout systems and creating a collective realizing of shared connections on the facility level.

    The OAR’s strategy is to open up supply chain facts for the advantage of all. The vigor of the OAR’s method lies in transforming messy, inconsistent facts into structured datasets, made freely attainable to all stakeholders beneath an open information licence. When everyone working in international supply chains enjoys equal access to quality facts, opportunities abruptly speak in confidence to shift the business onto a more sustainable and equitable direction.

    Katie Shaw, Chief working Officer of Open attire Registry, says:

    The OAR is thrilled to be becoming a member of a big range of pioneering organisations within the ODI/Microsoft peer-discovering community. the realm is facing an exceptional wave of challenges, from local weather alternate, to revenue inequality and the Covid-19 pandemic, and it’s only by working and getting to know together that they may be in a position to handle these issues.

    Opening statistics up, in preference to locking it away, should be key to success and we’re excited to be working with others to locate the way to make sure that sharing statistics openly is not any longer the exception, but the norm.

    Open Contracting Partnership

    The Open Contracting Partnership is a silo-busting collaboration across governments, groups, civil society, and technologists to open up and radically change govt contracting international. They deliver open facts and open government collectively to be certain public money is spent overtly, fairly and with no trouble. They focal point on public contracts as they're the single largest merchandise of spending with the aid of most governments. they are a executive’s #1 corruption possibility and they are vital to be sure citizens get the functions that they deserve. The pandemic has made clear what happens if a executive can’t purchase and carry existence-saving clinical components straight away, without problems, and equitably. These screw ups are still costing lives and disproportionately hurt those already affected by persistent inequities, including people of color and girls.

    Spun out of the world financial institution in 2015, they at the moment are an unbiased now not-for-profit working in over 50 nations. They force massively better cost for funds, public integrity and repair birth with the aid of moving public contracting from closed approaches and much of paperwork to digital functions which are reasonable, efficient and ‘open-through-design’.

    We support reformers from executive, business and civil society to make reforms stick, support their innovations leap scale, and foster a lifestyle of openness around the policies, teams, equipment, information, and results mandatory to convey impact.

    We aren’t after a little bit more transparency: they desire a transformational shift in how company is completed. They want to bridge basic gaps in statistics introduction, disclosure and use. a contemporary economic system needs a wise, facts-driven govt contracting ecosystem. Their mission is to carry governments, groups, citizens and open statistics collectively to construct one.

    James McKinney, Head of records products and features, Open Contracting Partnership says:

    The Open Contracting Partnership is excited with the aid of this probability to learn the way different facts organizations are coming near commonplace challenges, and to create connections in order to proceed sharing and getting to know with friends after the community wraps up. We’re in particular eager to focus on tips on how to make facts more accessible to a large viewers.

    OpenStreetMap groundwork 

    OpenStreetMap is a map of the world, created by way of americans such as you and free to make use of beneath an open licence. Openstreetmap.org indicates handiest a view of the targeted map database; OpenStreetMap statistics is all over the place, from the greatest web sites and businesses to probably the most inventive interest projects, and in areas together with mobile apps, humanitarian projects, the general public sector, artwork, and science.

    virtually 8 million registered clients make about four.5 million adjustments to the map every day. in lots of locations and domains, it is the most distinct, genuine, and proper map.

    while many commercial actors offer maps created with OpenStreetMap, the usage of the facts itself is free. The simplest situations imposed by means of the Open Database License are attribution, such as in a corner of the map, and sharing changes made to the map facts under the identical circumstances (share-alike).

    OpenStreetMap is each a producer and a purchaser of open records. It includes or bases itself upon brazenly licensed statistics from many mapping organizations and other sources. The greater a long way-sighted reputable their bodies remember that OpenStreetMap is the most suitable manner of driving usage of their statistics, and have now all started contributing it to OpenStreetMap themselves.

    The OpenStreetMap basis is the non-income employer that supports, but doesn't direct or manage, the OSM assignment. The foundation’s about 2,000 members choose its seven volunteer board members. a few working corporations, composed in the main of volunteers, perform day-to-day operations on behalf of the basis.

    Guillaume Rischard, OpenStreetMap groundwork Board, says:

    Our initiatives have been preaching and practising opening their information, but were siloed of their administration. a part of it comes from being created by way of iconoclasts when normal consensus changed into that open records turned into a mad concept.

    To many people, top of the line observe is ignoring ‘choicest follow’, which they see as a synonym for mediocrity. The risk of this method is throwing the child out with the bathwater. Many challenges that they face are exciting, but some are similar, and i hope that the peer-incomes community could make it easier for us to study options invented in other places.

    Wikimedia foundation

    The Wikimedia groundwork is the nonprofit agency that hosts Wikipedia and other free abilities projects. The Wikimedia foundation’s mission is to empower and interact people all over to bring together and advance academic content material under a free licence or in the public area, and to disseminate it comfortably and globally. since 2003, the Wikimedia foundation has supported communities of volunteers in creating and disseminating talents in over 300 languages by means of preserving technical infrastructure, building new application tools and products, addressing legal challenges, and championing everyone’s right to free online potential. nowadays, Wikipedia is without doubt one of the ten most visited web sites on the planet, accessed via 6,000 readers each 2d.

    Maryana Pinchuk, essential Partnerships supervisor, Wikimedia foundation, says:

    we're excited to participate in the ODI peer-getting to know community for the probability it affords us to fortify their relationships with different companies who are contributing to the infrastructure of free competencies on the web by means of gathering and disseminating open records.

    We hope that by using sharing their organisational learnings with newer businesses in this discussion board, as well as working collectively to establish cross-slicing opportunities and challenges that they all face as stewards of open facts, they can contribute to a more healthy, more a success, and greater sustainable ecosystem of open facts and open skills-sharing structures.

    Wikimedia isn't receiving any funding from Microsoft as part of their involvement in this task.


    WikiRate.org is the greatest open-source registry of environmental, social, and governance information on the earth, with greater than 1.7 million records aspects for over 70,000 agencies.

    by bringing this suggestions collectively in a single vicinity and making it comparable, available, and free for all, WikiRate gives society with the equipment and evidence obligatory to spur companies to respond to the area’s social and environmental challenges.

    WikiRate collaborates with companions to bring results that enhance the area; as an example, they share records on the actions agencies are or should be taking to supply protection to laborers from exploitation or their operations’ have an effect on on the local environment. Their group of participants drives their growing open records platform. They work collaboratively to add and examine the information in their open database about organizations’ operations. without them, WikiRate couldn’t do what it does

    Laureen van Breen, Managing Director, The WikiRate undertaking, says:

    We established WikiRate with the principle of easy and free entry to records about corporations’ performance. nowadays, more barriers to accessing data are being inbuilt a rush to offer protection to this new oil or gold-like uncooked material. Open statistics has the competencies to address the realm’s most challenging concerns. That’s why we’re in love with solving the problem, no longer selling the answer.

    We need to scale and develop WikiRate and so they are delighted to be becoming a member of the ODI peer-studying community. They seem forward to connecting, sharing, and becoming with this surprising neighborhood of open facts initiatives and proceed creating options, together.

    background and funding

    This work is part of their three-year partnership with Microsoft, operating except April 2023. Microsoft joined their commercial Partnership Programme as a part of its Open statistics crusade which goals to ‘tackle the looming ‘records divide’ and help corporations of all sizes to recognize the advantages of records and the new applied sciences it powers’.

    Get panic with the ODI

    Key to the success of the 2nd peer-getting to know network will be their skill to seize the insights from their engagements and share them with the border open records community. Please appear out for corresponding outputs we’ll be producing over the next six months.

    Are you seeking to be part of a community or be trained new abilities with data? they have an ODI Membership network (from £one hundred per year), and they run classes right through the yr

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