Flink架构采用的容错策略是（）

A.DataStream
B.DataSet
C.Table
D.RDD

A.spark.executor.num
B.spark.executor.instances
C.spark.executor.count
D.spark.executor.scale

A.yarn logs -applicationId < app ID>
B.yarn logs -id < app ID>
C.yarn application -log < app ID>
D.yarn applicationLog < app ID>

A.spark.yarn.queue
B.spark.yarn.line
C.spark.yarn.seat
D.spark.yarn.priority

A.Spark SQL
B.Spark Streaming
C.PySpark
D.SparkC

A.MEMORY_ONLY
B.MEMORY_AND_DISK
C.MEMORY_ONLY_SER
D.MEMORY_AND_DISK_SER

A.sc.fromArray（data）
B.sc.parallelize（data）
C.sc.copyFromArray（data）
D.sc.rdd（data）

A.map
B.distinct
C.groupByKey
D.reduceByKey

A.DAG
B.DBG
C.DCG
D.DDG

A.BroadcastJoin
B.ShuffledHashJoin
C.SortMergeJoin
D.StreamHashJoin