Course Assesment
Everyone may get different types of questions we covered almost all the questions in the videos. check the videos which are available for course assessment. and also I am giving some questions in this description. check that questions too. And to get the certificate, you need to get atleast 180 points in this course assessment. Means everyone needs to attempt atleast 18 questions correct. so try to answer 18 questions correctly
Questions in this video
1. Which stages are part of every modern data pipeline?
2. Which options are part of the five Vs of big data?
3. An application extracts and analyzes customer comments from an online chat application. The data is then saved as nested JSON documents in Amazon DocumentDB(with MongoDB compatibility). Which term would best describe the data in this scenario?
4. A data engineer needs to batch index large amounts of textual data on an article website and provide deep keyphrase searching to end users through an app. Which AWS service could help the engineer accomplish this?
5. which option is NOT a pillar of AWS Well - Architected Framework?
6. A data engineer is concerned about increased web traffic during a promotion to attract new customers. The engineer wants to add Amazon EC2 instances to support the increase in demand and be able to better manage the workload. Which service would be the MOST cost-effective to accomplish this task?
7. A system administrator has launched Amazon EC2 instances and would like to create alarms that send notifications when CPU utilization thresholds are breached. Which AWS service would best meet their needs?
8. Which term is NOT a step in data wrangling?
9. What does ELT stand for?
10. Which AWS services can be used to monitor and troubleshoot on AWS Glue Job?
11. Consider this process : Connect to the source and query to create a dataset. Write the resulting dataset to storage. Process the dataset. Make the data available for analytics applications. What is this process an example of?
12. A company has been using an Amazon EC2 instance that is backed by multiple Amazon Elastic Block Store (Amazon EBS) drivers. They want to expand and need to share this block storage data across multiple EC2 instances. Which AWS service or feature should they consider?
13. Which service is MOST commonly associated with data warehousing?
14. A company has a high volume of highly curated data that serves as the central version of the truth for the organization. Which storage option should the company use to ensure data quality?
15. Which options are Amazon EMR nodes types? (Select THREE.)
16. What does YARN stands for?
17. Which statement is NOT correct regarding Apache Hadoop?
18. Which AWS service can help with labeling a dataset?
19. Which step is NOT part of framing a typical machine learning (ML) problem?
20. A developer wants to increase productivity at their company by using a generative artificial intelligence(AI) service that can help generate code. Which AWS service can be embedded in an Integrated development environment(IDE) and generative code?
21. What percentage of a machine learning (ML) dataset should be allocated to training?
22. A data engineer is building a pipeline to perform sentiment analysis on phone calls (audio files). Which set of AWS services could they use?
23. What are the MOST common use cases for Amazon OpenSearch Service?(Select Three)
24. Users with different roles at a video game company use AWS tools and services within different stages of the gaming analytics pipeline. Which role would you associate with exploring and analyzing player data?
Check for other 20 questions with answers in comments.
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23 май 2024
