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Google Certified Professional Data Engineer Exam

  • Exam Number/Code : Professional-Data-Engineer
  • Exam Name : Google Certified Professional Data Engineer Exam
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
What is the currently correct brand name for the Avaya audio/video/web conferencing software that works with Avaya IP Office TM ?
A. Avaya Equinox TM
B. Avaya IX TM Meetings
C. Avaya IX TM Workplace
D. Avaya IX TM Spaces
E. Avaya Personal Edition
Answer: C

NEW QUESTION: 2
Which of the following is false when it comes to using the Elastic Load balancer with Opsworks stacks?
A. A Classic Load Balancer can span across AWSOpsWorks Stacks layers.
B. Youcan attach only one load balancer to a layer.
C. Youneed to create the load balancer before hand and then attach it to the Opsworkstack.
D. Eachload balancer can handle only one layer.
Answer: A
Explanation:
Explanation
The AWS Documentation mentions the following
To use Clastic Load Balancing with a stack, you must first create one or more load balancers in the same region by using the Clastic Load Balancing console, CLI, or API. You should be aware of the following:
You can attach only one load balancer to a layer.
Cach load balancer can handle only one layer.
AWS
OpsWorks Stacks does not support Application Load Balancer. You can only use Classic Load Balancer with AWS OpsWorks Stacks. For more information on Clastic Load Balancer with Opswork, please visit the below url http://docs.aws.a mazon.com/opsworks/latest/userguide/layers-elb.html

NEW QUESTION: 3
You have a customer-facing application running on multiple M3 instances in two AZs. These instances are in an Auto Scaling group configured to scale up when load increases. After taking a look at your CloudWatch metrics, you realize that during specific times every single day, the Auto Scaling group has a lot more instances than it normally does. Despite this, one of your customers is complaining that the application is very slow to respond during those time periods, every day.
The application is reading and writing to a DynamoDB table which has 400 Write Capacity Units and 400 Read Capacity Units. The primary key is the company ID, and the table is storing roughly
20 TB of data. Which solution would solve the issue in a scalable and cost-effective manner?
Choose the correct answer:
A. Use data pipelines to migrate your DynamoDB table to a new DynamoDB table with a different primary key that evenly distributes the dataset across the table
B. DynamoDB is not a good solution for this use case. Instead, create a data pipeline to move data from DynamoDB to Amazon RDS, which is more suitable for this
C. Add a caching layer in front of the web application with ElastiCache, Memcached, or Redis
D. Double the number of read and write capacity units, because the DynamoDB table is being throttled when customers from the same company all use the table at the same time
Answer: A
Explanation:
Distribute the data to use the shards efficiently