M2090-732 - Study Material - IBM SPSS Modeler Sales Mastery Test v1

IBM M2090-732 is an exam related to IBM Big Data Sales Mastery Test v2. It is designed to test a candidate’s knowledge of IBM Big Data Solutions, Big Data Platforms, and Big Data Analytics. It covers topics such as IBM Big Data Platforms, IBM Big Data Solutions, IBM Big Data Analytics, and the IBM Big Data Sales Process. It also covers the IBM Big Data Ecosystem and IBM Big Data Services.

The duration of the IBM M2090-732 exam is 90 minutes.

There are 66 questions in the IBM M2090-732 exam.

The passing score for IBM M2090-732 is 75%.

The competency level required for the IBM M2090-732 exam is Intermediate.

IBM M2090-732 exam has multiple-choice questions, drag and drop questions, and fill-in-the-blank questions.

IBM M2090-732 exam is available in both online and testing center formats. The online format is available through the IBM Professional Certification Marketplace. The testing center format is available through Pearson VUE.

IBM M2090-732 Exam is offered in the English language.

The cost of the IBM M2090-732 exam is $200 USD.

The target audience for the IBM M2090-732 exam are individuals who are looking to become certified as an IBM Certified Solutions Expert – Big Data & Analytics. This certification is designed for professionals who have a deep understanding of the IBM Big Data & Analytics Platform and who can apply this knowledge to design, implement, and manage solutions that meet customer needs.

The average salary of a person who has completed the IBM M2090-732 exam certification is approximately $90,000 per year.

IBM offers an official practice test for the M2090-732 exam. The practice test is available for purchase through the IBM Marketplace. Additionally, there are a number of third-party providers that offer practice tests for the M2090-732 exam, including Exam-Labs, PrepAway, and ExamCollection.

The recommended experience for the IBM M2090-732 exam is to have at least three years of experience in using IBM Big Data and Analytics solutions, including IBM BigInsights, IBM Watson Analytics, and IBM SPSS Modeler. Additionally, it is recommended to have a working knowledge of Hadoop and related technologies, such as HDFS, MapReduce, and Spark. A basic understanding of data warehousing, data mining, and data analysis is also recommended.

The prerequisites for the IBM M2090-732 exam include having a basic understanding of IBM Cognos Business Intelligence and Data Warehousing, as well as experience in designing and developing solutions using IBM Cognos Business Intelligence and Data Warehousing. Additionally, candidates should have experience working with IBM Cognos Framework Manager and IBM Cognos Transformer.

The official website for IBM M2090-732 exam is https://www.ibm.com/certify/exam.html?id=M2090-732. The expected retirement date is not provided on this page, but you can contact IBM support for more information.

The certification roadmap for the IBM M2090-732 exam is as follows: 1. Prepare for the exam by studying the exam objectives and topics. 2. Take practice tests to assess your knowledge and identify areas of improvement. 3. Register for the exam and schedule a date and time to take the exam. 4. Take the exam and receive your score. 5. If you pass the exam, you will receive an IBM M2090-732 certification. 6. Maintain your certification by taking continuing education courses and staying current with the latest technologies and trends.

The IBM M2090-732 exam covers topics related to IBM Big Data and Analytics Sales Mastery Test v2. These topics include: 1. Big Data and Analytics Overview: This section covers the overview of Big Data and Analytics, including the benefits, components, and challenges associated with the technology. 2. Big Data and Analytics Solutions: This section covers the different solutions available for Big Data and Analytics, such as IBM Watson and Hadoop. 3. Selling Big Data and Analytics Solutions: This section covers the sales cycle for Big Data and Analytics solutions, including the sales process, customer engagement, and pricing. 4. Big Data and Analytics Competitors: This section covers the different competitors in the Big Data and Analytics market, including their strengths and weaknesses. 5. Big Data and Analytics Trends: This section covers the latest trends in Big Data and Analytics, including the most popular technologies and their applications.

1. What is the purpose of the IBM SPSS Modeler Extract node? 2. What is the purpose of the IBM SPSS Modeler Aggregate node? 3. Describe the process of creating a model in IBM SPSS Modeler? 4. How can you use IBM SPSS Modeler to evaluate the performance of a model? 5. What is the IBM SPSS Modeler Merge node used for? 6. How can you use IBM SPSS Modeler to automate data preparation tasks? 7. Explain the concept of data profiling in IBM SPSS Modeler? 8. What are the different types of data transformations available in IBM SPSS Modeler? 9. How can you use IBM SPSS Modeler to create visualizations? 10. Describe the process of deploying an IBM SPSS Modeler model?

The difficulty level of the IBM M2090-732 exam is considered to be intermediate. It is not an easy exam, but it is also not overly difficult. It requires a good understanding of the topics covered on the exam, as well as the ability to apply that knowledge to real-world scenarios.