Analyzing and Visualizing Data with Microsoft Excel (70-779) Exam - RETIRED

Analyzing and Visualizing Data with Microsoft Excel (70-779) Exam - RETIRED

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Analyzing and Visualizing Data with Microsoft Excel (70-779) Exam - RETIRED FAQs

Microsoft Exam 70-779 Online Tutorial focus on building skills to - 

  • Explore and extend a classic Excel dashboard.
  • Explore and extend an Excel data model.
  • Pre-format and import a .CSV file.
  • Import data from a SQL Server database
  • Import data from a report.

Exam 70-779: Analyzing and Visualizing Data with MS Excel Study Guide

For Analyzing and Visualizing Data with Microsoft Excel (70-779) exam you need to have advance understanding of performing data analysis in Microsoft Excel. When starting to prepare for the exam - First search for the exam pattern and make blueprint according to the weightage of topics, Second, Find some courses online to get good study material and practice sets questions related to the exam and Third try to focus on your weakest part so that you don't face any difficulty during the exam.

You will be given 120 minutes to do 40-60 questions in this exam.

Yes, you can apply for retaking the exam but you to pay for each exam attempt you will take.

This exam is available in English language but candidate can request for accommodation if they want to give it in their native language.

If you want to cancel the exam then you have to do it at least 6 days prior to you appointment. In case you are not able to do it 24 hours prior to the exam then it may result in loss of entire fee.

TestprepTraining provides unique sets of questions that will help you check your skills and knowledge in performing data analysis on Excel. These practice questions will help you increase your knowledge for better preparation of exam.

The topics covered in this exam are - Consume and Transform Data by Using Microsoft Excel (30-35%), Model Data (35-40%) and Visualize Data (30-35%).

There will be 40-60 questions in this exam which you have to complete in 120 minutes.

Focus your learning on - 

  • Working with Microsoft Excel for performing data analysis.
  • Ability to visualize, transform and consume data in excel.
  • Configure data in PivotTable, PowerPivot and PivotCharts.

Analyzing and Visualizing Data with Microsoft Excel (70-779) Preparation Guide

If you are receiving the same marks on multiple attempts that do not indicate that program result is in error. If this happens again on multiple attempts, you may want to reconsider how you are studying for the exam.

1. Microsoft provides a lot of different certification according to the individuals needs and provides you valuable certificate after passing any certification exam. 2. Microsoft certification will help you increase your value whether it’s for Resume or for job hiring this will help you in both. This certification will work as experience for you. 3. People from IT sectors who want to achieve professional level prefer to go with Microsoft Certification.

Individuals who are BI professionals, data analysts and others who are performing data analysis in excel are best fit for the exam.

Candidates applying for the exam should have a deep understanding in performing data analysis using Microsoft Excel. They should be able to configure data in Power Pivot, PivotTables, and Pivot Charts.

This exam will help you in knowing about the Microsoft Excel data analysis and visualization. This exam focuses on analyzing the decision making and critical thinking methods needed for success at the MCSA level.

No, this exam cannot be used to satisfy the requirements for both an MCSA and an elective in the same MCSE or MCSD path.

This is an online and proctored exam in which there will be multiple choice & multiple responsive type questions.

Once purchased, the practice exams can be access for the lifetime.

Yes, we offer a 100% unconditional money back guarantee. In case you are not able to clear the exam for then you can request for the full refund. Please note that we only refund the cost of product purchased from Testprep Training and not the AWS Certification Exam cost.

Candidates for this exam should have a strong understanding of how to use Microsoft Excel to perform data analysis. Candidates should be able to consume, transform, model, and visualize data in Excel. Candidates should also be able to configure and manipulate data in PowerPivot, PivotTables, and PivotCharts. Candidates may include BI professionals, data analysts, and other roles responsible for analyzing data with Excel.

1. Consuming and Transforming Data By Using Power BI Desktop

2. Modeling and Visualizing Data

3. Configure Dashboards, Reports and Apps in the Power BI Service

Yes we offer nearly 50% discount for the order more than 10 products at a time. You can reach the testprep training Helpdesk for more details. The member of support staff will respond as soon as possible.

Yes testprep training offers free practice tests for AWS Certified Advanced Networking Specialty which can be used before the final purchase for complete test. 

Yes our experts frequently blog about the tips and tricks for exam preparation.

Yes, Testprep Training offers email support for any certification related query while you are preparing for the exam using our practice exams. Your query will be handled by experts in due course.

1. Consume and Transform Data by Using Microsoft Excel (30-35%)

2. Model Data (35-40%)

3. Visualize Data (30-35%)

Candidates for this exam should have a good understanding of how to use Power BI to perform data analysis. Candidates should be proficient in connecting to data sources and performing data transformations, modelling and visualizing data by using Microsoft Power BI Desktop, and configuring dashboards by using the Power BI service. Candidates should also be proficient in implementing direct connectivity to Microsoft SQL Azure and SQL Server Analysis Services (SSAS), and implementing data analysis in Microsoft Excel. Candidates may include BI professionals, data analysts, and other roles responsible for creating reports by using Power BI.