You are configuring a Greenplum cluster. What happens if you set the `max_connections` parameter too high?
AImproved performance for all queries
BPotentially exceed resource limits
CAutomatically resolve connection issues
DNo impact on system performance
Explanation
Setting `max_connections` too high can lead to resource exhaustion, impacting system stability and performance.
Q82
Which service in Greenplum allows for automated data ingestion?
AGreenplum Data Connector
BTanzu Kubernetes Service
CGreenplum Data Federation
DPivotal Cloud Cache
Explanation
The Greenplum Data Connector automates data ingestion, while the others serve different purposes.
Q83
A company needs to optimize query performance on large datasets. What is a crucial step?
AIncrease storage capacity
BConfigure partitioning
CAdd more nodes
DUpgrade network speed
Explanation
Configuring partitioning can significantly optimize query performance on large datasets, while the other options might help but are not specific solutions.
Q84
What happens when a Greenplum server exceeds its memory limit during a query?
AQuery execution is terminated
BQuery uses disk space for processing
CServer automatically restarts
DPerformance improves temporarily
Explanation
When memory is exceeded, Greenplum uses disk space for processing, whereas the other options do not accurately describe the behavior.
Q85
Which service manages distributed query execution in Greenplum?
AQuery Coordinator
BData Warehouse
CClient Connection
DBackup Service
Explanation
The Query Coordinator distributes queries across segments, managing execution; others do not specifically manage query distribution.
Q86
A company needs to ingest high-velocity data in real-time. Which Greenplum feature is best suited?
AData Mart
BStreaming Data Ingestion
CBatch Load
DSnapshot Replication
Explanation
Streaming Data Ingestion allows real-time data flow; batch load doesn't support real-time processing effectively.
Q87
What happens when a Greenplum segment node becomes unavailable?
ASystem crashes immediately
BQuery execution continues with retries
CData is lost permanently
DOnly the failed node restarts
Explanation
Queries can re-route to available segments, as Greenplum maintains redundancy; system does not crash on a segment failure, nor does it lose data permanently.
Q88
Which component manages fault tolerance in Greenplum?
AMaster node
BSegment node
CData Warehouse
DBackup Service
Explanation
The Segment node handles data distribution and fault tolerance for the cluster, while the Master node does not manage faults directly.
Q89
A company needs to improve their language support for Greenplum extensions. Which extension should they use?
APL/pgSQL
BPL/Java
CPL/Python
DPL/R
Explanation
PL/Python provides extensive language support for data analysis, while the others focus on different programming environments or are less pertinent.
Q90
You are configuring replication in Greenplum. What happens when a segment fails during a data write?
AData is always lost
BSystem halts until fixed
CWrite retries without data loss
DMaster node takes control
Explanation
Greenplum uses replication for resilience, attempting retries without losing data.