A company needs to ensure high availability for their Greenplum database. Which feature should they implement?
AData Partitioning
BReplication
CParallel Query Execution
DIndexing
Explanation
Replication helps maintain high availability by duplicating data; the others do not provide redundancy features.
Q22
Which service does Greenplum use for data ingestion?
Agpfdist
Bgpload
Cgptransfer
Dgpfdump
Explanation
gpload is specifically designed for data ingestion; gpfdist is for file streaming, gptransfer for data transfer between clusters, and gpfdump for exporting data.
Q23
A company needs to run parallel queries in Greenplum. What should they optimize?
ADisk I/O
BCPU cores
CNetwork latency
DMemory usage
Explanation
Optimizing disk I/O enhances parallel query performance; while CPU, network, and memory are important, I/O is critical in Greenplum.
Q24
You are configuring a user access role in Greenplum. Which command grants user privileges?
AGRANT USER
BALTER ROLE
CGRANT ROLE
DSET ROLE
Explanation
GRANT ROLE assigns specific privileges to a user; the other options do not correctly grant user privileges.
Q25
Which service is responsible for handling query execution in Greenplum?
ASegment servers
BMaster node
CData nodes
DResource manager
Explanation
Segment servers execute queries in parallel, while master nodes manage coordination and metadata.
Q26
A company needs to optimize a slow query in Greenplum. What should they do first?
AAdd more segments
BCheck query plan
CIncrease memory allocation
DPartition the table
Explanation
Checking the query plan reveals execution details and potential inefficiencies.
Q27
You are configuring a Greenplum cluster. What happens if the master node goes down?
AAll queries will fail immediately
BData will be lost
CSegment servers continue operating
DReplication auto-restarts
Explanation
Segment servers operate independently, but no new queries can be initiated without the master.
Q28
Which service in Greenplum allows for quick analytical queries over large datasets?
ADirect Query Service
BQuickAnalytics
CPostgreSQL Query Engine
DGreenplum Parallel Query Engine
Explanation
The Greenplum Parallel Query Engine is designed for efficient analytics on large datasets, while others do not exist or are not specific to Greenplum.
Q29
A company needs to securely share data between multiple Greenplum clusters. Which feature should they use?
AData Streamer
BFederated Querying
CDatabase Link
DExternal Tables
Explanation
Federated Querying allows secure data access across clusters, while the others do not provide the needed secure sharing functionality.
Q30
You are configuring a Greenplum cluster and require the data to be accessible via RESTful API. What should you use?
AGreenplum Web Service
BGreenplum Load Balancer
CGreenplum REST API Plugin
DCustom Middleware Solution
Explanation
The Greenplum REST API Plugin provides native access via RESTful services, while the other options are either non-existent or not sufficient for this use case.