For the past 13 weeks on the blog, I have delivered a series of posts concerning Microsoft Exam 70-778, specifically focused towards providing a set of detailed revision notes that cover the broad array of Power BI features assessed as part of the exam. To round things off, today’s blog will bridge together everything I have discussed thus far in the series; with the hope being that this post can be a single reference point for those who have not been following the series to date.
Microsoft Exam 70-778 Overview
The exam, with its full title Analyzing and Visualizing Data with Microsoft Power BI, is targeted towards Business Intelligence (BI) and data professionals who are looking to validate their skills in working with Power BI. The exam is a necessary component, alongside Exam 70-779: Analyzing and Visualizing Data with Microsoft Excel, in attaining the Microsoft Certified Solutions Associate (MCSA) certification in BI Reporting. Successful candidates can then (optionally) pass an additional “elective” exam to gain the Microsoft Certified Solutions Expert (MCSE) certification in Data Management and Analytics.
Skills Measured in the Exam
The skills measured are outlined below, alongside links to the relevant posts from the series and the list of essential points to remember:
Consuming and Transforming Data By Using Power BI Desktop
Connect to data sources.
May include: Connect to databases, files, folders; import from Excel; connect to SQL Azure, Big Data, SQL Server Analysis Services (SSAS)
- Power BI supports a broad range of database systems, flat file, folder, application and custom data sources. While it is impossible to memorise each data source, you should at least broadly familiarise yourself with the different types at our disposal.
- A crucial decision for many data sources relates to the choice of either Importing a data source in its entirety or in taking advantage of DirectQuery functionality instead (if available). Both routes have their own defined set of benefits and disadvantages. DirectQuery is worth consideration if there is a need to keep data regularly refreshed and you have no requirement to work with multiple data sources as part of your solution.
- Live Connection is a specific data connectivity option available for SQL Server Analysis Services. It behaves similarly to DirectQuery.
- It is possible to import an existing Excel BI solution into Power BI with minimal effort, alongside the ability to import standard worksheet data in the same manner as other flat file types.
May include: Design and implement basic and advanced transformations; apply business rules; change data format to support visualization
- The Power Query M formula language is used to perform transformations to data once loaded into Power BI. Although it is possible to do this via code, Power BI allows us to define all of our required data changes from within the interface, without the need to write a single line of code.
- Each data source connected to represents itself as a Query within Power BI. There are many options at your disposal when working with Queries, such as renaming, merging, duplication and the ability to disable or reference as part of other Queries.
- There are wide-range of column transformations that can be applied, which are too numerous to mention. The Transform tab provides the best means of seeing what is available, with options ranging from formatting through to grouping and pivoting/unpivoting.
- New columns are addable via the Add Column tab. You can choose to base new columns on calculations, conditional logic, other column values or as a defined list of ascending numbers, which may be useful for indexing purposes.
- It is possible to merge or append queries together to suit your specific requirements. Merging involves the horizontal combination of Queries, whereas appending represents a vertical combination.
- Parameters can be used to help optimise any complex filtering requirements.
- Where possible, Power Query will attempt to use the most optimal query for your data source, based on the transformation steps you define. This action is known as Query Folding and, in most cases, SQL-derived data sources will support this option by default.
May include: Manage incomplete data; meet data quality requirements
- Data can be filtered directly within Power Query, using Excel-like functionality to assist you in only returning the most relevant data in your queries. The data type of each field plays a particularly important part of this, as only specific filter options will be at your disposal if, for example, you are working with numeric data.
- From a data quality perspective, you typically will need to handle column values that contain one of two possible value types:
- Errors: This will usually occur as a result of a calculated column field not working correctly. The best solution will always be to address any issues with your calculated column, such as by using a conditional statement to return a default value.
- Blanks/NULLs: A common symptom when working with SQL derived data sources, your real problems with blank values start to appear when you attempt to implement DAX custom columns/Measures outside of the Power Query Editor. It is, therefore, recommended that these are dealt with via a Replace action, depending on your fields data types. For example, a number field with blank/NULL values should be replaced with 0.
- The Remove Rows option(s) can act as a quick way of getting rid of any Error or Blank/NULL rows and can also be utilised further to remove duplicates or a range of rows. In most cases, you will have similar options available to you with Keep Rows instead.
- There are a variety of formatting options available to us when working with text/string data types. These range from fixing capitalisation issues in data, through to removing whitespace/non-printable character sets and even the ability to prepend/append a new value.
Modeling and Visualizing Data
Create and optimize data models.
May include: Manage relationships; optimize models for reporting; manually type in data; use Power Query
- Relationships form the cornerstone of ensuring the long-term viability and scalability of a large data model. Assuming you are working with well-built out, existing data sources, Power BI will automatically detect and create Relationships for you. In situations where more granular control is required, these Relationships can be specified manually if needed. It is worth keeping in mind the following important features of Relationships:
- They support one-to-one (1:N), one-to-many (1:N) and many-to-one (N:1) cardinality, with many-to-many (N:N) currently in preview.
- Filter directions can be specified either one way or bi-directionally.
- Only one relationship can be active on a table at any given time.
- It is possible to sort columns using more highly tailored custom logic via the Sort By Column feature. The most common requirement for this generally involves the sorting of Month Names in date order but can be extended to cover other scenarios if required. To implement, you should ensure that your data has a numbered column to indicate the preferred sort order.
- Moving outside of the Power Query Editor presents us with more flexibility when it comes to formatting data to suit particular styling or locale requirements. While the majority of this functionality provides date/time and currency formatting options, for the most part, it is also possible to categorise data based on Location, the type of URL it is or on whether or not it represents a Barcode value; these options can assist Power BI when rendering certain types of visualizations.
- There may be ad-hoc requirements to add manually defined data into Power BI - for example, a list of values that need linking to a Slicer control. The Enter Data button is the “no-code” route to achieving this and supports the ability to copy & paste data from external sources. For more advanced scenarios, you also have at your disposal a range of M code functionality to create Lists, Records and Tables, which can be extended further as required.
Create calculated columns, calculated tables, and measures
May include: Create DAX formulas for calculated columns, calculated tables, and measures; Use What If parameters
- DAX is the primary formula language when working with datasets outside of Power Query. It includes, to date, more than 200 different types of functions that can assist in all sorts of data modelling.
- An important concept to grasp within DAX is context and, specifically, row context (formulas that calculate a result for each row in a dataset) and filter context (formulas that automatically apply any filtering carried out at report level).
- The sheer amount of DAX functions available makes it impossible to master and remember all of them, particularly when it comes to the exam. Your learning should, therefore, focus on learning the general syntax of DAX and the general types of functions available (aggregation, date/time etc.)
- There are three principal means of utilising DAX with Power BI:
- As Measures: These typically present a scalar value of some description, often an aggregation or a result of a complex formula. Using them in association with a Card visualization type is recommended, but this is not a strict requirement.
- As Calculated Columns: Similar to the options available within Power Query, Calculated Columns provide a dynamic and versatile means of adding new columns onto your datasets. Compared with the options available within Power Query and the complexity of the M language, DAX Calculated Columns might represent a more straightforward means of adding custom columns onto your datasets.
- As Calculated Tables: A powerful feature, mainly when used in conjunction with Calculated Columns, you have the ability here to create entirely new datasets within the model. These will typically derive from any existing datasets you have brought in from Power Query, but you also have functionality here to create Date tables, sequence numbers and manually defined datasets as well.
- What-if Parameters provide of means of testing DAX formulas, as well as allowing report users to perform predictive adjustments that can affect multiple visualizations on a report.
Measure performance by using KPIs, gauges and cards.
May include: calculate the actual; calculate the target; calculate actual to target; configure values for gauges; use the format settings to manually set values
- There are two principle visualization types available within Power BI to help track actual-to-target progress - KPIs and Gauges.
- KPIs provide a more visually unique means of a binary success/fail determination when tracking towards a target. It is also possible to use KPI’s to track variance over time via the Trend axis. The Indicator will typically be the result of some form of aggregation or Measure.
- Gauges provide a less visually distinctive, but non-binary, mechanism of viewing progress towards a target. Gauges support more potential field well values when compared with KPIs, nearly all of which are optional in some way. You can also manually define some of these values, for situations where your data model does not contain the required information.
- All visualizations within Power BI are modifiable from a display or formatting perspective. The same basic options will generally be supported - such as changing a font type or background colour - with more specific configuration properties available per unique visualization type. For example, a KPI visualization can be customised to hide the background Trend Axis entirely. All of these options are designed to give developers greater control over the look and feel of their reports and to mirror them as closely as possible to any potential branding requirement.
- When building out a solution designed to monitor progress within Power BI, the steps involved will typically be more in-depth than merely creating a new visualization. In most cases, there will be a requirement to bring together a lot of the other skills that have been discussed previously within this series - such as creating DAX formulas, modifying data within Power Query or bringing together different data sources into a single model. It is essential, therefore, not to underestimate the amount of time and effort involved in creating a practical solution that takes advantage of KPIs or Gauges.
May include: Create date hierarchies; create hierarchies based on business needs; add columns to tables to support desired hierarchy
- Hierarchies within Power BI provide a means of logically categorising data into an order of preference or precedence, providing greater flexibility to Power BI report users when they interact with visualizations.
- Date Hierarchies are created and managed automatically by Power BI for each Date or Date/Time field defined within your model. These automatically create fields that contain the Year, Quarter, Month & Day values from the respective date fields. These fields can then be utilised as part of a Table visualization or within a DAX formula. Date Hierarchies can also be completely disabled if required.
- Custom (or User-Defined) Hierarchies need to be created manually and provide additional customisation options when compared to Date Hierarchies, such as the number of fields they contain, the order and its name. A Custom Hierarchy will typically make use of one of several Parent/Child DAX functions, such as PATH or PATHITEM.
- Including a hierarchy as part of a chart visualization, such as a Pie chart or Donut chart, opens up other drill-down capabilities around your data. Indicated by the additional arrow icons included at the top of the visualization, they provide the means for users to interrogate data points that interest them the most straightforwardly.
Create and format interactive visualizations.
May include: Select a visualization type; configure page layout and formatting; configure interactions between visual; configure duplicate pages; handle categories that have no data; configure default summarization and data category of columns; position, align, and sort visuals; enable and integrate R visuals; format measures; Use bookmarks and themes for reports
- Power BI delivers, out of the box, a range of different visualizations that cater towards most (if not all) reporting requirements. Should you find yourself in need of additional visualizations, then Microsoft AppSource is your go-to destination for finding visualizations developed by others. If you have experience working with either Node.js or R, then these can be used to build bespoke visualizations also.
- When first developing a report, you should be able to match a requirement for a specific visualization type, to ensure that you are delivering a solution that is both meaningful and useful. From an exam perspective, this becomes a more critical consideration, and you should be prepared to suggest the most optimal visualization to use when given a specific scenario.
- After adding visualization’s to your report, you have additional options available to customise them further. For example, you can specify a preferred sorting order for your data, override any summarizations used and move/align your visual on the report page.
- By default, visualizations in Power BI are designed to change automatically, based on how users interact with the report. All of these options are controllable via the Edit interactions button, allowing you to specify your preferred cross-filtering and cross-highlighting conditions.
- There is a range of report page customisation options available to developers. It is possible to resize a page to any possible height/width, allowing you to optimise your report for specific devices. Also, you can modify the colour of a page (or its wallpaper) or add an image instead. Pages can also be renamed, reordered or duplicated.
- Measures can be formatted in the same way as calculated columns, meaning you can specify a data type or, for numerics, modify the number of decimal places.
- Bookmarks allow developers to set up “checkpoints” within a report, based on how a report page has been filtered. These can then be used to automatically navigate the user through a report, applying these filtering steps automatically. This feature can help transform your report into an interactive story.
- Visualizations will automatically inherit their various colour properties from the currently selected report theme. Although these can be modified granularly, the fastest and most consistent way of making these changes en masse is to change the Theme. Power BI includes some Themes out of the box, but you also have the option of building your own using a custom JSON file; this can then be imported into different reports, providing a portable means of enforcing a particular branding requirement.
Manage custom reporting solutions
- May include: Configure and access Microsoft Power BI Embedded; enable developers to create and edit reports through custom applications; enable developers to embed reports in applications; use the Power BI API to push data into a Power BI dataset; enable developers to create custom visuals
- Power BI Embedded is an Azure hosted offering that allows you add Power BI Report content into bespoke applications. This deployment option can be incredibly useful if you wish to make available your Power BI solution to users outside of your organisation or if you have an existing, bespoke application system that can benefit from utilising Power BI content. An Azure subscription is required to begin working with Power BI Embedded and you are billed based on node size, not individual user licenses. All Power BI content requires publishing to the online service before its contents become available for Power BI Embedded to access. Report developers will, therefore, need granting a Power BI Professional license to carry out these activities.
- The Power BI API grants access to developers to perform automation or administrative actions programmatically against the Power BI Online service. Utilising a REST API, developers can determine the optimal programming language of choice to interact with the API, allowing them to streamline the deployment of Reports or Dashboards to the Power BI service or leverage additional functionality when utilising Power BI Embedded. The API can also cater to specific data load requirements, although more complex needs in this area would require addressing via alternate means (SSIS, Azure Data Factory etc.)
- Developers can add their own bespoke visualizations to a Power BI Report by either developing them using Node.js or using the R language. The first of these options facilitate a more streamlined deployment mechanism and allows developers to add their visualizations to AppSource, whereas the second option may be more useful for complex visualization types with an analytical or statistical function.
Configure Dashboards, Reports and Apps in the Power BI Service
Access on-premises data
May include: Connect to a data source by using a data gateway;publish reports to the Power BI service from Power BI Desktop; edit Power BI Service reports by using Power BI desktop
- The Power BI On-Premise Gateway provides a streamlined route to working with non-cloud data sources within Power BI, Microsoft Flow and PowerApps. As a lightweight and easy-to-configure client application, it supports a wide variety of data sources, making them accessible as if they were in the cloud. Once set up, corresponding Data Sources are then made available for configuration and for leveraging as part of any Power BI Dataset.
- Reports can be published into Power BI Online, meaning that they become accessible online and to a broader group of users, without requiring access to Power BI Desktop. Reports need deploying into a Workspace, which can be created manually or derived from an Office 365 Group. Each Report contains a corresponding Dataset, where all queries defined within Power BI Desktop exist.
- Reports that already exist on Power BI Online can be updated by just publishing a new version of the Report from Power BI Desktop. It is also possible to modify Reports from directly within the browser and by downloading a copy of the .pbix Report file as well, which can then be altered and re-published.
Configure a dashboard
May include: Add text and images; filter dashboards; dashboard settings; customize the URL and title; enable natural language queries
- Dashboards provide a means of grouping together various content as tiles, designed for at-a-glance analysis and optimal end-user experience.
- The list of content that can be pinned to a Dashboard includes:
- Web content
- Text boxes
- Custom streaming data
- Pinned content can be re-arranged on Dashboard via drag and drop functionality. It is also possible to resize tiles to any given height/width.
- Within the settings of a Dashboard, it is possible to enable/disable features such as natural language queries (Q&A’s) and Notes.
- Some features of a Dashboard are only available if you have a Power BI Professional subscription, such as sharing and email subscriptions.
Publish and embed reports
May include: Publish to web; publish to Microsoft SharePoint; publish reports to a Power BI Report Server
- The Publish to web option allows for non-licensed, external users to view a Power BI Report in its entirety. A URL and IFrame embed code can be generated for this at any time within the portal and then dropped into virtually any website. Although you will lose some functionality when deploying a Report out in this manner, you can expect that users will be able to perform most types of interactions with visualizations, Report pages and other components, as if they were accessing the Report through Power BI Online. In some cases, you may be unable to use the Publish to web option if your Report uses certain kinds of features, such as R Visuals or row-level security. You must also take into account any privacy or data protection concerns, as Reports deployed out in this manner will be publically accessible; where this is an issue, the Embed option is available as a secure alternative.
- There are three steps involved if you wish to add a Report to SharePoint. First, you must generate the unique SharePoint embed URL within Power BI. Secondly, you then need to add on the dedicated control for this feature on your target SharePoint page and configure the relevant display options. Finally, you then need to ensure that all SharePoint users have been granted access to the Report, either at a Workspace level (recommended option) or by having the Report shared with them. By implication, in this scenario, all SharePoint users would have to have at least a Power BI Professional license to take full advantage of this functionality.
- Publishing a Report to Power BI Report Server is mostly the same as if you were to do the same with the online version of the product. Instead of selecting a Workspace to add the Report to you, specify the name of the Report Server folder where the Report will reside. From a development standpoint, the dedicated Power BI Desktop for Power BI Report Server must be used and may differ in functionality from the “normal” version of the tool. There is also no option to edit a report from within Power BI Report Server like you can through the online version.
Configure security for dashboards, reports and apps.
May include: Create a security group by using the Admin Portal; configure access to dashboards and app workspaces; configure the export and sharing setting of the tenant; configure Row-Level Security
- Workspaces act as a container for the various components that form a Power BI Reporting solution. Within a Workspace, you will find all of the Dashboards, Reports, Workbooks and Datasets that developers have published content to. Each User has a Workspace created for them in Power BI when they first access the service. Additional Workspaces can be added through Office 365 Groups or by installing a Power BI App from AppSource. Dashboards and Reports created within your a Users Workspace are shareable to other Users, provided that your account has a Power BI Professional license assigned to it.
- To help manage permissions to Dashboards/Reports in a more efficient manner, Administrators can create Security Groups on the same Office 365 Tenant where Power BI Online resides. These can contain multiple groups of Users, allowing administrators to minimise the amount of effort involved in managing Dashboard/Report access. Most crucially, this will also enable Users that do not have an Exchange Online mailbox to access Dashboards/Reports when they are shared out in this manner.
- Administrators have a whole host of options available to them within the Tenant settings area of the Admin Portal. These include, but are not limited to:
- Export and Sharing Settings
- Enable/Disable Content Sharing
- Enable/Disable Publish To Web
- Enable/Disable Export Reports as PowerPoint Presentations
- Enable/Disable Print Dashboards and Reports
- Content Pack and App Settings
- Integration Settings
- Custom Visuals Settings
- R Visuals Settings
- Audit and Usage Settings
- Dashboard Settings
- Developer Settings
- All of these settings can be enabled for a specific security group, the entire organisation (excepting specific security groups) or allowed for particular security groups, excluding all others in the organisation.
- Row-Level Security (RLS) allows report developers to restrict data, based on Roles. Row-level DAX evaluation formulas are used to achieve this, which filters the data that is returned, depending on a TRUE/FALSE logic test. To utilise the feature, you must define both the Roles and DAX formulas for each query within your data model. Then, after deploying your Report to Power BI Online, you then assign Users or Security Groups to the Role(s) created within Power BI Desktop. It is possible to view the effect of a Role at any time, within Power BI Desktop or Online, via the View As Role functionality. With the wide-array of DAX formulas available, including specific ones that return the details for the current user accessing a Report, it is possible to define very granular filtering within a Power BI report, to suit particular security or access models.
Configure apps and apps workspaces.
May include: Create and configure an app workspace; publish an app; update a published app; package dashboards and reports as apps
- Workspaces act as a container for the various components that form a Power BI Reporting solution. Within a Workspace, you will find all of the Dashboards, Reports, Workbooks and Datasets that developers have published content to. Each User has a Workspace created for them in Power BI when they first access the service. It is also possible to create additional Workspaces, either through the Power BI Online interface or by creating an Office 365 Group. A new experience for creating Workspaces is currently in preview which, once released, would negate the need for each Workspace to have an associated Office 365 Group.
- When creating a Workspace, you can define various settings such as the type of access each user has (read-only or ability to modify its content), its members and whether it requires assignment to a Power BI Premium node. It is not possible to change the access type for a Workspace after creation, but you can freely change its name or modify its membership at any time.
- The contents of a Workspace can be published as an App, enabling you to expose your solution to a broader audience within or outside your organisation. Once published, users navigate to the Power BI AppSource store for their tenant, which lists all Apps available for installation. Once installed, they will then become visible from within the Apps area of the application. You can update content within an App at any time by republishing its corresponding Workspace. It is also possible to define individual properties within an App, such as its description, access rights and landing page. To install and use Apps, the user in question must have a Power BI Professional license.
Additional Preperation Resources
The official Microsoft exam reference book is a helpful learning aid for this exam, particularly given that it includes numerous exercises that you can work through to familiarise yourself with different Power BI functionality. There is also an online course available on the edX website which, despite not covering the whole exam syllabus, does provide a useful visual aid and includes a lot of the features you are expected to know for the exam. Finally, nothing beats actually working with the product itself and trying out the various features yourself. Power BI Desktop is a free download and, with access to one of the sample databases provided by Microsoft, you can very quickly provision an environment on your own home computer to enable you to experience everything that Power BI has to offer.
Exams are always a nightmarish experience, both when preparing for them and when you are sat there in the test centre. I hope that this post, and this whole series, proves to be useful in helping with your exam preparation and getting you ready to pass the exam with flying colours 🙂