The Alibaba ACE Big Data exam preparation guide is designed to provide candidates with necessary information about the ACE-BigData1 exam. It includes exam summary, sample questions, practice test, objectives and ways to interpret the exam objectives to enable candidates to assess the types of questions-answers that may be asked during the Alibaba Big Data (ACE) exam.
It is recommended for all the candidates to refer the ACE Big Data objectives and sample questions provided in this preparation guide. The Alibaba ACE-BigData1 certification is mainly targeted to the candidates who want to build their career in Big Data domain and demonstrate their expertise. We suggest you to use practice exam listed in this cert guide to get used to with exam environment and identify the knowledge areas where you need more work prior to taking the actual Alibaba ACE Big Data exam.
Alibaba ACE Big Data Exam Summary:
Exam Name
|
Alibaba ACE Big Data (ACE-BigData1) |
Exam Code | ACE-BigData1 |
Exam Price | $168 USD |
Duration | 150 minutes |
Number of Questions | 50 |
Passing Score | 65 / 100 |
Recommended Training / Books | Big Data Exam Preparation Course |
Schedule Exam | PEARSON VUE |
Sample Questions | Alibaba ACE Big Data Sample Questions |
Recommended Practice | Alibaba Big Data (ACE) Practice Test |
Alibaba ACE Big Data Syllabus:
Section | Objectives |
---|---|
Alibaba Cloud Hadoop based Big Data Platform: E-MapReduce |
- In-depth understanding of how to use Alibaba Cloud E-MapReduce to process data using the broad ecosystem of Hadoop tools like Hive and Spark - Get familiar with Alibaba Cloud E-MapReduce services, web console, scheduling and auto-scaling.
- Have a deep understanding of the vertical and horizontal scaling of E-MapReduce cluster |
Understand the offline data processing engine, visualization: MaxCompute / DataWorks / Quick IB in Alibaba cloud |
- In-depth understanding of Alibaba Cloud big data services: MaxCompute, DataWorks. - Good knowledge of implementing big data applications through Alibaba Cloud services: extract, store, analyze data and visualization. - In-depth understanding of core functions and UDFs of MaxCompute. - Master programing with SQL & Python on MaxCompute / DataWorks. - Know how to protect your data using the security mechanism of MaxCompute / DataWorks. - Know how to implement big data development through Alibaba Cloud SDKs: SQL, Python Application Deployment and Management. - Master data visualization tools and know how data are presented with Quick BI. - Ability to manage the lifecycle of applications deployed on Alibaba Cloud based Big Data Products. |
Serverless interactive analytics service: Data Lake Analytics (DLA) |
- Basic knowledge of DLA concepts and usage. - Ability to build a business structure based on DLA. - Know how to implement data warehouse applications with DLA. |
Alibaba Cloud Machine Learning for AI (PAI) |
- Basic machine learning knowledge, such as PMML, feature engineering normalization method. - Capability to design a machine learning model with PAI. |
Understanding the solutions that empower the Alibaba Ecosystem |
- Understand the big data application architecture of vertical industry. - Capability to choose the best big data products for any business scenario. |