How To Pass The PL 300 Certification Exam?

Introduction: 

Microsoft Power BI has grown significantly in popularity as a platform for business intelligence and data analytics in recent years. Placing yourself in a crowded market is crucial if you're willing to be an ambitious business analyst. You can get a PL 300 Certification to add some professional expertise to your knowledge. Moreover, today organizations prefer to hire candidates with some extra knowledge and experience. Because there is a constantly changing technological environment. And to pace up with-it particular expertise is a must. This article you guide you on How to Pass the PL 300 Certification Exam? However, go through the following paragraphs to get your all answers. 

What is PL 300 Certification?

Microsoft Power BI makes a popular platform in use for business intelligence and in the field of data analytics. This platform for data visualization efficiently converts unstructured data from multiple sources into thorough, interactive insights, empowering businesses to make informative decisions. Your expertise in this field is recognized by the Microsoft Power BI certification. Commonly known as Exam PL-300: Microsoft Power BI Data Analyst. This exam typically lasts 90 minutes and is available in different languages, such as English, German, Japanese, and Arabic.  

What are the Testing Parameters for this Exam?

• 25% to 30% around Preparing data
• 25% to 30% about Modeling data
• 25% to 30% in terms of visualizing and analyzing data
• 15% to 20% in areas of deploying and maintaining assets

Necessary Skills to Add Before Sitting for this Exam:

Data Preparation

Preparing data mainly revolves around importing, deep cleaning, and further manipulating data to arrange it for analysis.

1. Bring together data from multiple data sources

Power BI allows connecting to up to 100 data sources from different spreadsheets to other databases to web pages. You must know how to bring data from different sources into Power BI. Further, you need to know these necessary skills for your PL 300 Certification.

• Identify and correct connecting to a specific data source
• Make changes to data source settings, consisting of credentials, different privacy levels, and particular data source locations
• Select a collaborating dataset, or even build a local dataset
• Select between DirectQuery, Import, and also Dual mode
• Make necessary changes to the value present in the parameter 

2. Clean the Data

Datasets are usually clean when you receive them. However, you need to be aware of how to analyze and further rectify issues happening with data. 

• Evaluate data, consisting of data statistics and other column properties
• Look for inconsistencies, resolve unexpected or null values, and rectify data quality issues
• Resolve errors for data import

3. Transform and Further Load the Data

No matter how clean is your data, it usually needs manipulating into a suitable form for undergoing analysis. You may additionally require to build new columns from prior existing ones or even create a subset of your data or combine together tables. PL 300 Certification is an important credential today and requires the following skill.

• Choose the correct column data kinds
• Build and further transform columns
• Querry Transformation
• Create a star schema containing different facts and dimensions
• Understand when to make use of reference or even duplicate queries and analyze the resulting impact
• Bring together as well as append queries
• Identify and build the correct keys for building relationships
• Prepare data loading for further queries

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Data Modelling

Data modeling defines every necessary element going inside each table and how these tables relate together. 

1. Design and Implement a Data Model

The primary step in data modeling is defining the structure of every table and giving necessary access to them. 

• Create a table and different column properties
• Addition of role-playing dimensions
• Understand the relationship between cardinality and direction in cross-filter
• Build a common table of date
• Additions of roles in row-level security

All these skills make up a crucial part of How to Pass the PL 300 Certification Exam?

2. Model Calculations Using DAX

The capacity to derive relevant measurements from the data is crucial for performing useful analytics. You can additionally use the DAX programming language, which is part of Power BI.

• Making measures into a single aggregation
• Using CALCULATE to filter manipulation
• Implement measures for time intelligence
• Look for implicit measures and then replace them with explicit measures
• Learn to make use of fundamental statistical functions
• Build semi-additive measures
• Build a measure by implementing quick measures
• Building calculated tables

3. Optimize Model Performance

If your dashboard or reports are running slow, then you may require to update data or calculations for improving the speed. PL 300 Certification needs the following skills.

• Performance improvement by identification and removal of irrelevant rows and columns
• Analyze poorly performing measures, build relationships, and rectify visuals by Performance Analyzer
• Performance improvement for correct selection of optimal data types
• Performance improvement by data summarization

Data Visualization and Analyzation

Data visualization and analyzing numbers become the basic of data analysis. After you get your answers, you need to organize your data into a dashboard or even report for consumption. Go through Power BI Certification Course to build an easy understanding of all these skills.

1. Create Reports

At the base level, to develop a Power BI report, you need to develop the text, design metrics, and visualizations. And further, arrange them in a particular manner.

• Analyze and add correct visualizations
• Editing and configuring visualizations
• Make use of a custom visual
• Add and further theme customization
• Configure conditional formatting
• Apply filtering and slicing 
• Create the report page
• Make use of the Analyzation in Excel feature
• Select when to use a paginated report

2. Make Reports Interactive for Storytelling and Usability 

A Power BI report's usefulness mostly depends on how many insightful and engaging ideas its viewers have after viewing it. The efficacy of the report can increase by making it simpler to use and by further including a narrative.

• Configure bookmarks
• Build custom tooltips
• Edit and then configure interactions happening between visuals
• Set up report navigation 
• Apply sorting
• Further, configure slicers sync 
• Make use of the selection pane to group and layer visuals
• Make use of interactive visuals to drill down into data
• Configuration of the export of content report and export performance
• Designing reports for mobile devices
• Addition of the Q&A feature in all types of report

3. Identify Patterns and Trends

Alongside descriptive statistics, data analysis uses a variety of methods to answer queries regarding the data. Starting from cluster analysis, which identifies corresponding data points, to forecasting, which further makes future predictions.

• Learn to use Analyze feature while working with Power BI
• Use binning, grouping, and clustering
• Further Use of AI Visuals
• Use error bars, reference lines, and additional forecasting
• Look for outliers as well as other anomalies
• Build and further share scorecards and their metrics

Deploy and Maintain Assets

After you make your reports or dashboard, you further require to make it easily available for all your users and update it. 

1. Build and then Manage Workspaces and their Assets

Power BI Workspaces allows you to manage reports, dashboards, and datasets.

• Build and structure a workspace
• Designate workspace roles
• Organize and further update a workspace app
• Publish, import, or even update assets while working in a workspace
• Create dashboards
• Choose between a distribution method
• Addition of sensitivity labels to content workspace
• Structure subscriptions and configure data alerts
• Promote or even certify Power BI content
• Moreover, manage files for global options

2. Manage Datasets

Maintaining the underlying data needs arranging an update procedure in order to keep dashboards and additional reports current.

• Determine when a gateway is necessary
• Create a scheduled refresh for the dataset
• Set up security group membership at the row level
• Lastly, give users access to data

Conclusion: 

Now that you know what skills to add to your knowledge. Moreover, now you can better prepare yourselves for this certification exam. With a descriptive answer to How to Pass the PL 300 Certification Exam? You can create your further strategies. To make things even easier Power BI Certification Course is the ideal medium to prepare for this journey. Thus, get this most desired certification to enhance your career outlook.