Microsoft DA-100 Deutsch

Extremely high passing rate

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Refund is available if not pass

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Exam DA-100 Topics Covered

Test DA-100 measures the entrant's skills in 5 different domains:

• Deployment and maintenance deliverables (10-15%)

  The fifth and final section of DA-100 exam includes managing datasets. The candidate must be able to configure dataset scheduled refresh and row-level security. They are also expected to have an idea about giving access to data sets, incremental refresh settings, and certifying datasets. Moreover, the entrant is required to be well-informed about creating and managing workspaces. They should be able to create and configure workspaces, assign roles in the workspace, and manage the workspace app. Knowing how to import, export, update, and publish workspace assets will be essential. Finally, the candidate needs to know about applying sensitivity labels in workspace contents. The entrant also needs to be capable of identifying downstream data set dependencies and using deployment pipelines.

• Preparation of data (20-25%)

  The first domain for DA-100 exam consists of questions that will test the candidate's understanding of data retrieval from various sources. Thus, applicants should be able to identify the data source and connect to it, modify the source settings, select and create various data sets, pick a storage mode, etc. In addition, the examinee should be familiar with the concept of data profiling and have to be able to identify anomalies, study data structures, and examine column properties as well as data statistics. This section also includes cleaning, transforming, and loading data. This means that the entrant must know how to resolve inconsistencies, transform column data types, combine queries, solve data import errors, and more. This topic will also include Microsoft Dataverse, the usage & creation of a PBIDS file, and data flow after the changes are incorporated.

• Visualizing the data (20-25%)

  The third domain will test the applicant's know-how of creating reports, dashboards, and enriching reports for usability. This will require the candidate's expertise in adding visualization to reports, choosing a proper visualization style, formatting visualizations, slicing and filtering applications, configuring a report page, building automatic page refresh, etc. The knowledge of R and Python visuals will also be beneficial. Furthermore, it is also essential for the entrant to know how to set dashboard to mobile view, manage tiles, configure data alerts, arrange aspects of the dashboard, and pin live reports. Finally, the applicant needs to enrich the reports by configuring bookmarks, creating custom tooltips, sorting & configuring various Sync Slicers, designing reports for mobile devices, etc.

• Analyzing the data (10-15%)

  In the fourth tested area, the candidate will be asked to enhance reports for exposing insights. This means complying with the need to be well-informed about conditional formatting, slicers, filters, Analytics pane along with a few other concepts. Besides, candidates must be able to add Quick Insights results to reports and use Q&A visuals. Likewise, the exam-taker should be able to know how to execute the advanced analysis. This involves the understanding of outliers, Timer Series analysis, groupings, binning, dimensional variances, decompositions tree visuals, and AI Insights. The exam also requires an understanding of the Play Axis feature and the personalization of visuals.

• Modeling the data (25-30%)

  This part of the final exam includes designing a data model. Here, the candidate should be able to define and configure tables along with having an idea about various dimensions and relationships. They are also required to be familiar with the concept of cardinality and cross-filter direction. After designing a data model, the applicant should be aware of how to develop it. Therefore, understanding of security filtering, calculated tables, hierarchies, and the implementation of row-level security roles will be beneficial. Furthermore, the entrants' expertise in working with DAX will be tested in this sector. They are required to be capable of using DAX for building complex measures, taking advantage of CALCULATE for manipulating filters using DAX with Time Intelligence, and more. In addition, this portion of DA-100 also involves the optimization of model performance by removing rows and columns, changing data types, managing aggregations, etc. Finally, the entrant should also know how to create semi-additive measures.

Rich versions for you to choose from

Nowadays, our learning methods become more and more convenient. Advances in technology allow us to learn freely on mobile devices. However, we understand that some candidates are still more accustomed to the traditional paper study materials, so our DA-100 Deutsch study materials provide customers with a variety of versions to facilitate your learning process. Among them, the PDF version of DA-100 Deutsch training guide is specially provided for these candidates, because it supports download and printing. For those who are willing to learn on the phone, as long as you have a browser installed on your phone, you can use the App version of our DA-100 Deutsch exam questions: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version). The PC version is ideal for computers with windows systems, which can simulate a real test environment. At the time of purchase our DA-100 Deutsch study materials, you can choose one or three downloads at the same time.

There is no denying that no exam is easy because it means a lot of consumption of time and effort. Especially for the upcoming DA-100 Deutsch exam, although a large number of people to take the exam every year, only a part of them can pass. If you are also worried about the exam at this moment, please take a look at our DA-100 Deutsch study materials, whose content is carefully designed for the DA-100 Deutsch exam, rich question bank and answer to enable you to master all the test knowledge in a short period of time. Our DA-100 Deutsch exam questions: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) have helped a large number of candidates pass the DA-100 Deutsch exam yet. Hope you can join us, and we work together to create a miracle.

Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Deploy and maintain deliverables

The following will be discussed in MICROSOFT DA-100 exam dumps:

• Configure row-level security group membership
• Configure incremental refresh settings
• Manage datasets
• Identify downstream dataset dependencies
• Configure a dataset scheduled refresh
• Configure and update a workspace app
• Create and manage workspaces
• Promote or certify Power BI content
• Create and configure a workspace
• Assign workspace roles
• Apply sensitivity labels to workspace content
• Providing access to datasets
• Use deployment pipelines
• Publish, import, or update assets in a workspace
• Recommend a development lifecycle strategy

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

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Languages: English, Chinese (Simplified), Korean, Japanese, French, German, Spanish

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize the data; analyze the data; and deploy and maintain deliverables.