A company needs to optimize data loading in Greenplum. What should they consider?
AUsing psql for loading
BParallel Data Loading
CBatch Query Processing
DSingle-threaded connections
Explanation
Parallel Data Loading maximizes throughput during data ingestion, unlike single-threading which is less efficient.
Q42
You are configuring a Greenplum cluster. What happens if standby servers are not configured?
ACluster will not operate
BData will be lost on failure
CRead requests will fail
DGreenplum will run in read-only mode
Explanation
Without standby servers, a failure can lead to data loss because there's no backup to switch to.
Q43
Which service in VMware Tanzu Greenplum is responsible for managing data distribution across segments?
AData Distribution Manager
BSegment Coordinator
CResource Manager
DMaster Data Service
Explanation
Segment Coordinator handles data distribution, while others manage different aspects of the database.
Q44
A company needs to ensure data redundancy in its Greenplum cluster. What should they configure?
AMaster Mirroring
BSegment Replication
CData Archiving
DMilestone Auditing
Explanation
Segment Replication provides data redundancy; others serve different purposes.
Q45
You are configuring a new Greenplum database. What happens when you set the statement_timeout parameter too low?
AQueries will never execute
BValid queries might fail prematurely
CPerformance improves under load
DNo effect on query execution
Explanation
Low statement_timeout could cause valid queries to timeout, disrupting normal operations.
Q46
Which service does Greenplum Database primarily use for parallel data processing?
AMaster and Segmented Data Nodes
BSingle Node Processing
CMonolithic Architecture
DTransaction Processing Service
Explanation
Greenplum uses master and segment nodes to enable parallel data processing, while the other options do not reflect its architecture.
Q47
A company needs to optimize its query performance in Greenplum. What should be their first step?
AIncrease memory allocation for segments
BAnalyze and create appropriate indexes
CUpgrade to a larger server instance
DUse only primary keys in queries
Explanation
Creating appropriate indexes is often the best first step to optimize query performance, rather than just allocating more resources or changing hardware.
Q48
You are configuring data retention for a time-series database in Greenplum. What happens when a retention policy is applied?
AAll old data is deleted immediately
BIncoming data stops being collected
CData older than a set limit is deleted
DRetention policies are ignored by default
Explanation
A retention policy sets rules to delete data older than a specified limit, while the other options misrepresent how these policies function.
Q49
Which service enables data distribution in Greenplum?
AData distribution service
BData fairness management
CGreenplum Query Optimizer
DPostgreSQL connection pooler
Explanation
The Data distribution service manages how data is distributed across partitions, while the others do not specifically handle distribution.
Q50
A company needs to optimize query execution in Greenplum. What should they consider?
AAdding more segments
BIncreasing the max_connections
CChanging query syntax only
DReducing data redundancy
Explanation
Adding more segments improves parallel processing, while the other options will not directly optimize query execution.