Graph Queries JN0-481 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   After running a graph query to find the path between two servers, the result set contains multiple paths. The engineer needs to determine which path is currently being used for active traffic. What additional step is most appropriate to interpret the results correctly?

   • AAssume the shortest path is always the active one and use that for further analysis.
   • BCheck the configuration of the source server to see which path is defined in its routing table.
   • CCorrelate the paths with real-time flow data or forwarding table information to identify the active path.
   • DRe-run the query with a filter to only return paths that have a link utilization of less than 50%.
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2. 12application · medium

   A graph query returns a list of nodes and edges representing a network path. The engineer notices that the result includes a node for a firewall that is in 'failover' mode. The engineer wants to understand the impact of this on the path. What is the most important next step in interpreting this result?

   • AAssume the path is broken because the firewall is in failover mode.
   • BCheck the operational state of the firewall node and its associated interfaces in the graph or a linked system.
   • CIgnore the firewall node as it is not a switch or router.
   • DDelete the firewall node from the path and re-run the query.
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4. 13application · medium

   A network architect is explaining the benefits of a graph database for intent-based analytics to a colleague. The architect needs to describe a key advantage of using graph queries over traditional relational database queries for analyzing network dependencies. Which statement is most accurate?

   • AGraph queries allow you to model and query relationships between entities (like devices and flows) as first-class citizens, making multi-hop dependency analysis more natural and efficient.
   • BGraph queries require less storage space than relational databases because they do not use indexes.
   • CGraph queries are the only way to store time-series data like interface counters.
   • DGraph queries are inherently faster for all types of data retrieval because they use a different storage engine.
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5. 14application · easy

   An engineer executes a graph query to find all VMs connected to a specific leaf switch. The query returns a large number of VMs, including many that are powered off. The engineer wants to refine the query to only show active VMs. What is the most appropriate way to modify the query?

   • AChange the relationship type from 'CONNECTED_TO' to 'ACTIVE_CONNECTION'.
   • BRe-run the query and only look at the first 10 results.
   • CAdd a filter condition to the query to check the 'state' property of the VM node, e.g., WHERE vm.state = 'ACTIVE'.
   • DSort the results by VM name and manually skip the powered-off ones.
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6. 15foundation · easy

   In a graph query language like Cypher, what does the MATCH clause do?

   • AIt sorts the results in ascending or descending order.
   • BIt specifies the pattern of nodes and relationships to search for in the graph.
   • CIt creates new nodes and relationships in the graph database.
   • DIt filters the results based on a boolean condition.
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