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NEW QUESTION: 1
Which two operational modes are supported on the members of a StackWise switch stack? (Choose two)
A. power-sharing
B. passive
C. redundant
D. active
E. standby
Answer: D,E
NEW QUESTION: 2
What phrase below best describes a benchmark job?
A. A job that is easily defined and found in other organizations
B. A job that is held by at least 25% of an organization's workforce
C. A job being paid at the midpoint of the salary range
D. A job that is considered an outlier for purposes of market pricing
Answer: A
NEW QUESTION: 3
Refer to the exhibit.
Refer to the exhibit. A customer runs EIGRP and has remote routers with EIGRP stub configured. The customer tests the redundancy by shutting down the B link, and surprisingly the 10.0.0.0/24 subnet is no longer accessed by the hub router. Which action resolves this issue?
A. Remove summarization from all routers
B. Wait for a few seconds, after the EIGRP dead timer expired between R2 and hub, the 10.0 .0.0/24 can automatically be accessed by the hub router via the R1 router
C. Apply the Stub Route Leaking feature
D. Remove the EIGRP stub option, because it is not possible to configure two EIGRP stub routers on the same site
Answer: C
NEW QUESTION: 4
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Yes
Azure Databricks can consume data from SQL Databases using JDBC and from SQL Databases using the Apache Spark connector.
The Apache Spark connector for Azure SQL Database and SQL Server enables these databases to act as input data sources and output data sinks for Apache Spark jobs.
Box 2: Yes
You can stream data into Azure Databricks using Event Hubs.
Box 3: Yes
You can run Spark jobs with data stored in Azure Cosmos DB using the Cosmos DB Spark connector.
Cosmos can be used for batch and stream processing, and as a serving layer for low latency access.
You can use the connector with Azure Databricks or Azure HDInsight, which provide managed Spark clusters on Azure.