1. What is Catalyst optimizer ? Mid A. a join that ships a small table to all executors to avoid a shuffle B. Spark SQL's engine that turns a logical plan into an optimized physical plan C. DataFrames carry a schema and use Catalyst; RDDs are opaque and optimized manually D. pushing filters to the scan layer so irrelevant data is skipped
2. Which term means: "Spark SQL's engine that turns a logical plan into an optimized physical plan"? Mid A. broadcast join B. DataFrame vs RDD C. Catalyst optimizer D. predicate pushdown
3. Which statement is correct? Mid A. Catalyst optimizer — pushing filters to the scan layer so irrelevant data is skipped B. Catalyst optimizer — Spark SQL's engine that turns a logical plan into an optimized physical plan C. Catalyst optimizer — a join that ships a small table to all executors to avoid a shuffle D. Catalyst optimizer — Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins
4. What is Adaptive Query Execution ? Senior A. Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins B. a join that ships a small table to all executors to avoid a shuffle C. Spark SQL's engine that turns a logical plan into an optimized physical plan D. DataFrames carry a schema and use Catalyst; RDDs are opaque and optimized manually
5. Which term means: "Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins"? Senior A. broadcast join B. Adaptive Query Execution C. predicate pushdown D. Catalyst optimizer
6. Which statement is correct? Senior A. Adaptive Query Execution — Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins B. Adaptive Query Execution — Spark SQL's engine that turns a logical plan into an optimized physical plan C. Adaptive Query Execution — DataFrames carry a schema and use Catalyst; RDDs are opaque and optimized manually D. Adaptive Query Execution — pushing filters to the scan layer so irrelevant data is skipped
7. What is broadcast join ? Mid A. pushing filters to the scan layer so irrelevant data is skipped B. a join that ships a small table to all executors to avoid a shuffle C. DataFrames carry a schema and use Catalyst; RDDs are opaque and optimized manually D. Spark SQL's engine that turns a logical plan into an optimized physical plan
8. Which term means: "a join that ships a small table to all executors to avoid a shuffle"? Mid A. Catalyst optimizer B. Adaptive Query Execution C. broadcast join D. DataFrame vs RDD
9. Which statement is correct? Mid A. broadcast join — a join that ships a small table to all executors to avoid a shuffle B. broadcast join — Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins C. broadcast join — Spark SQL's engine that turns a logical plan into an optimized physical plan D. broadcast join — pushing filters to the scan layer so irrelevant data is skipped
10. What is DataFrame vs RDD ? Junior A. pushing filters to the scan layer so irrelevant data is skipped B. Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins C. a join that ships a small table to all executors to avoid a shuffle D. DataFrames carry a schema and use Catalyst; RDDs are opaque and optimized manually
11. Which term means: "DataFrames carry a schema and use Catalyst; RDDs are opaque and optimized manually"? Junior A. DataFrame vs RDD B. Catalyst optimizer C. predicate pushdown D. Adaptive Query Execution
12. Which statement is correct? Junior A. DataFrame vs RDD — DataFrames carry a schema and use Catalyst; RDDs are opaque and optimized manually B. DataFrame vs RDD — Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins C. DataFrame vs RDD — Spark SQL's engine that turns a logical plan into an optimized physical plan D. DataFrame vs RDD — pushing filters to the scan layer so irrelevant data is skipped
13. What is predicate pushdown ? Mid A. pushing filters to the scan layer so irrelevant data is skipped B. Spark SQL's engine that turns a logical plan into an optimized physical plan C. Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins D. DataFrames carry a schema and use Catalyst; RDDs are opaque and optimized manually
14. Which term means: "pushing filters to the scan layer so irrelevant data is skipped"? Mid A. DataFrame vs RDD B. predicate pushdown C. Catalyst optimizer D. broadcast join
15. Which statement is correct? Mid A. predicate pushdown — a join that ships a small table to all executors to avoid a shuffle B. predicate pushdown — Spark 3 runtime re-optimization: coalesce partitions, handle skew, switch joins C. predicate pushdown — pushing filters to the scan layer so irrelevant data is skipped D. predicate pushdown — Spark SQL's engine that turns a logical plan into an optimized physical plan