Spark cannot read Hive managed table

Hi all, I am practicing spark.

When using pyspark to query table in Hive, I can retrieve the data from an external table but query a internal table.

Here is the error message:

>>> spark.read.table("exams").count()
23/03/30 22:28:50 WARN conf.HiveConf: HiveConf of name hive.masking.algo does not exist
Hive Session ID = eb0a9583-da34-4c85-9a1b-db790d126fb1
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/cloudera/parcels/CDH-7.1.8-1.cdh7.1.8.p0.30990532/lib/spark/python/pyspark/sql/readwriter.py", line 301, in table
    return self._df(self._jreader.table(tableName))
  File "/opt/cloudera/parcels/CDH-7.1.8-1.cdh7.1.8.p0.30990532/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py",
  File "/opt/cloudera/parcels/CDH-7.1.8-1.cdh7.1.8.p0.30990532/lib/spark/python/pyspark/sql/utils.py", line 69, in deco
    raise AnalysisException(s.split(': ', 1)[1], stackTrace)
pyspark.sql.utils.AnalysisException: u'\nSpark has no access to table `default`.`exams`. Clients can access this table only ifMANAGEDINSERTWRITE,HIVEMANAGESTATS,HIVECACHEINVALIDATE,CONNECTORWRITE.\nThis table may be a Hive-managed ACID table, or require some other capability that Spark\ncurrently does not implement;'

I know that spark cannot read a ACID Hive table. it there any work around? 

Thanks in advance.