About Data Analyst Associate and Who It Is Intended for

The Microsoft Certified: Data Analyst Associate is earned by passing DA-100 and is a role-based intermediate-level certification that falls under the Microsoft Power Platform certification hierarchy and authenticates the data analyst's expertise in utilizing Microsoft Power BI in maximizing the businesses' data assets value. The earner of this certificate will be competent to design and develop scalable data models along with cleaning and transformation of data to provide business values through data visualizations. Overall, this certification will be beneficial for data analysts in broadening their technological prowess and the values that they provide for businesses.

Exam Details

Microsoft DA-100 is an associate-level certification exam, which means that irrespective of your current hands-on experience in the subject area, you can still work towards passing this test and obtaining the certificate. All you need is a thorough understanding of the exam topics and diligent preparation.

The DA-100 exam contains 40-60 questions, covering different types, such as case studies, multiple choice, drag and drop, active screen, and build list, among others. This test can be scheduled using Pearson VUE, the official administrator of the Microsoft certification exams. When you are ready to register for this test, you have to pay the fee of $165. This applies to a single sitting for the exam. If you do not get the required passing score that is 720 points, you must pay a new fee to retake the test.

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

Schedule exam

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.

Efficient use of fragmentation time

The DA-100 Deutsch study guide to good meet user demand, will be a little bit of knowledge to separate memory, every day we have lots of fragments of time, such as waiting in line to take when you eat, or time in buses commute on the way by subway every day, don't look at the time, but when you add them together will be surprised to find a day we can make use of the time is so much debris. The DA-100 Deutsch exam prep: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) can allow users to use the time of debris anytime and anywhere to study and make more reasonable arrangements for their study and life. Choosing our DA-100 Deutsch simulating materials is a good choice for you, and follow our step, just believe in yourself, you can do it perfectly!

Convenient app tools

In order to facilitate the wide variety of users' needs the DA-100 Deutsch study guide have developed three models with the highest application rate in the present - PDF, software and online. Online mode of another name is App of study materials, it is developed on the basis of a web browser, as long as the user terminals on the browser, can realize the application which has applied by the DA-100 Deutsch simulating materials of this learning model, users only need to open the App link, you can quickly open the learning content in real time in the ways of the study materials, can let users anytime, anywhere learning through our App, greatly improving the use value of our DA-100 Deutsch exam prep: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version), but also provide mock exams, timed test and on-line correction function, achieve multi-terminal equipment of common learning.

Exam DA-100 Topics Covered

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

• 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.

• 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.

• 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.

• 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.

• 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.

Compact curriculum

The memory needs clues, but also the effective information is connected to the line, systematic study, in order to deepen the learner's impression, avoid the quick forgetting. Therefore, we can see that in the actual teaching process, how the course arrangement plays a crucial role in the teaching effect. The DA-100 Deutsch study guide in order to allow the user to form a complete system of knowledge structure, the qualification examination of test interpretation and supporting course practice organic reasonable arrangement together, the DA-100 Deutsch simulating materials let the user after learning the section of the new curriculum can through the way to solve the problem to consolidate, and each section between cohesion and is closely linked, for users who use the DA-100 Deutsch exam prep: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) to build a knowledge of logical framework to create a good condition.

In informative level, we should be more efficient. In order to take the initiative, we need to have a strong ability to support the job search. And how to get the test Microsoft certification in a short time, which determines enough qualification certificates to test our learning ability and application level. This may be a contradiction of the problem, we hope to be able to spend less time and energy to take into account the test Microsoft certification, but the qualification examination of the learning process is very wasted energy, so how to achieve the balance? The DA-100 Deutsch exam prep: Analyzing Data with Microsoft Power BI (DA-100 Deutsch Version) can be done.

DOWNLOAD DEMO

Microsoft DA-100 Deutsch Exam Syllabus Topics: