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Huawei H13-711-ENU - HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Exam Braindumps

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  • Certification Provider:Huawei
  • Exam Code:H13-711-ENU
  • Exam Name:HCIA-Big Data(Huawei Certified ICT Associate-Big Data) Exam Exam
  • Total Questions:276 Questions and Answers
  • Product Format: PDF & Test Engine Software Version
  • Support: 24x7 Customer Support on Live Chat and Email
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  • Updates: 90 Days Free Updates Service
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NEW QUESTION: 1
Using standard approaches, PRPC authentication can be configured in the following ways, except? (Choose One)
A. To store usernames and passwords in the PRPC database
B. To use token based Single-SignOn (SSO)
C. To use the application server's password file
D. To authenticate against LDAP
Answer: C

NEW QUESTION: 2
You have an Azure Databricks workspace named workspace1 in the Standard pricing tier.
You need to configure workspace1 to support autoscaling all-purpose clusters. The solution must meet the following requirements:
Automatically scale down workers when the cluster is underutilized for three minutes.
Minimize the time it takes to scale to the maximum number of workers.
Minimize costs.
What should you do first?
A. Upgrade workspace1 to the Premium pricing tier.
B. Create a cluster policy in workspace1.
C. Set Cluster Mode to High Concurrency.
D. Enable container services for workspace1.
Answer: A
Explanation:
For clusters running Databricks Runtime 6.4 and above, optimized autoscaling is used by all-purpose clusters in the Premium plan Optimized autoscaling:
Scales up from min to max in 2 steps.
Can scale down even if the cluster is not idle by looking at shuffle file state.
Scales down based on a percentage of current nodes.
On job clusters, scales down if the cluster is underutilized over the last 40 seconds.
On all-purpose clusters, scales down if the cluster is underutilized over the last 150 seconds.
The spark.databricks.aggressiveWindowDownS Spark configuration property specifies in seconds how often a cluster makes down-scaling decisions. Increasing the value causes a cluster to scale down more slowly. The maximum value is 600.
Note: Standard autoscaling
Starts with adding 8 nodes. Thereafter, scales up exponentially, but can take many steps to reach the max. You can customize the first step by setting the spark.databricks.autoscaling.standardFirstStepUp Spark configuration property.
Scales down only when the cluster is completely idle and it has been underutilized for the last 10 minutes.
Scales down exponentially, starting with 1 node.
Reference:
https://docs.databricks.com/clusters/configure.html

NEW QUESTION: 3
What is the following description related to the container mirroring service (SWR)? Multiple choice)
A. Image management. Connect with Huawei MarketPlace and manage the charging images purchased by customers.
B. Safe and reliable. Multi-rental partition of mirrored warehouses: Security scanning: highly reliable (three copies).
C. Multi-platform docking deployment. Support Cloud Container Engine (CCE), microservice cloud application platform (ServiceStage), FunctionStage, Container Image Service (SMR) user deployment calls.
D. High performance. Self-developed high-performance container network, automatic elastic scaling in seconds, supports private clusters of high-performance bare metal containers.
Answer: A,B,C

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