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最新的 Databricks Certification Associate-Developer-Apache-Spark 免費考試真題:

1. The code block shown below should show information about the data type that column storeId of DataFrame transactionsDf contains. Choose the answer that correctly fills the blanks in the code block to accomplish this.
Code block:
transactionsDf.__1__(__2__).__3__

A) 1. limit
2. "storeId"
3. printSchema()
B) 1. select
2. "storeId"
3. print_schema()
C) 1. select
2. "storeId"
3. printSchema()
D) 1. limit
2. 1
3. columns
E) 1. select
2. storeId
3. dtypes

2. Which of the following describes the difference between client and cluster execution modes?

A) In cluster mode, each node will launch its own executor, while in client mode, executors will exclusively run on the client machine.
B) In client mode, the cluster manager runs on the same host as the driver, while in cluster mode, the cluster manager runs on a separate node.
C) In cluster mode, the driver runs on the edge node, while the client mode runs the driver in a worker node.
D) In cluster mode, the driver runs on the master node, while in client mode, the driver runs on a virtual machine in the cloud.
E) In cluster mode, the driver runs on the worker nodes, while the client mode runs the driver on the client machine.

3. Which of the following code blocks reads in the two-partition parquet file stored at filePath, making sure all columns are included exactly once even though each partition has a different schema?
Schema of first partition:
1.root
2. |-- transactionId: integer (nullable = true)
3. |-- predError: integer (nullable = true)
4. |-- value: integer (nullable = true)
5. |-- storeId: integer (nullable = true)
6. |-- productId: integer (nullable = true)
7. |-- f: integer (nullable = true)
Schema of second partition:
1.root
2. |-- transactionId: integer (nullable = true)
3. |-- predError: integer (nullable = true)
4. |-- value: integer (nullable = true)
5. |-- storeId: integer (nullable = true)
6. |-- rollId: integer (nullable = true)
7. |-- f: integer (nullable = true)
8. |-- tax_id: integer (nullable = false)

A) spark.read.parquet(filePath, mergeSchema='y')
B) spark.read.parquet(filePath)
C) 1.nx = 0
2.for file in dbutils.fs.ls(filePath):
3. if not file.name.endswith(".parquet"):
4. continue
5. df_temp = spark.read.parquet(file.path)
6. if nx == 0:
7. df = df_temp
8. else:
9. df = df.union(df_temp)
10. nx = nx+1
11.df
D) spark.read.option("mergeSchema", "true").parquet(filePath)
E) 1.nx = 0
2.for file in dbutils.fs.ls(filePath):
3. if not file.name.endswith(".parquet"):
4. continue
5. df_temp = spark.read.parquet(file.path)
6. if nx == 0:
7. df = df_temp
8. else:
9. df = df.join(df_temp, how="outer")
10. nx = nx+1
11.df

4. Which of the following code blocks returns DataFrame transactionsDf sorted in descending order by column predError, showing missing values last?

A) transactionsDf.sort(asc_nulls_last("predError"))
B) transactionsDf.desc_nulls_last("predError")
C) transactionsDf.sort("predError", ascending=False)
D) transactionsDf.orderBy("predError").asc_nulls_last()
E) transactionsDf.orderBy("predError").desc_nulls_last()

5. Which of the following describes a narrow transformation?

A) A narrow transformation is an operation in which data is exchanged across the cluster.
B) narrow transformation is an operation in which data is exchanged across partitions.
C) A narrow transformation is an operation in which no data is exchanged across the cluster.
D) A narrow transformation is a process in which data from multiple RDDs is used.
E) A narrow transformation is a process in which 32-bit float variables are cast to smaller float variables, like 16-bit or 8-bit float variables.

問題與答案：