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Databricks Certified Associate Developer for Apache Spark 3.5 - Python

  • Exam Number/Code : Associate-Developer-Apache-Spark-3.5
  • Exam Name : Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
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NEW QUESTION: 1
According to the Northern Rock Case Study, what is Forced Insolvency?
A. The bank is legally solvent but its current funding costs (which are likely to continue) exceed the average rate of return on its assets and hence it would soon become insolvent as it would be making losses and would eventually exhaust its equity capital
B. The bank is legally solvent but if, because it cannot fund its operations, it is forced to liquidate assets it could do so only at less than nominal values (fire sale) and this would make it legally insolvent (value of assets falls below those of liabilities)
C. The bank is solvent in that the current value of its assets (measured at book value) is more than the value of its liabilities; so even if the bank were to liquidate all of its assets it would be able to repay all depositors and other creditors
D. The bank is insolvent in that the current value of its assets (measured at book value) is less than the value of its liabilities; thus even if the bank were to liquidate all of its assets it would not be able to repay all depositors and other creditors
Answer: B

NEW QUESTION: 2

A. trimming
B. padding
C. salting
D. hashing
Answer: C,D
Explanation:
Explanation
There are two strategies that you can use to avoid hotspotting:
* Hashing keys
To spread write and insert activity across the cluster, you can randomize sequentially generated keys by hashing the keys, inverting the byte order. Note that these strategies come with trade-offs. Hashing keys, for example, makes table scans for key subranges inefficient, since the subrange is spread across the cluster.
* Salting keys
Instead of hashing the key, you can salt the key by prepending a few bytes of the hash of the key to the actual key.
Note. Salted Apache HBase tables with pre-split is a proven effective HBase solution to provide uniform workload distribution across RegionServers and prevent hot spots during bulk writes. In this design, a row key is made with a logical key plus salt at the beginning. One way of generating salt is by calculating n (number of regions) modulo on the hash code of the logical row key (date, etc).
Reference:
https://blog.cloudera.com/blog/2015/06/how-to-scan-salted-apache-hbase-tables-with-region-specific-key-ranges
http://maprdocs.mapr.com/51/MapR-DB/designing_row_keys_for_mapr_db_binary_tables.html

NEW QUESTION: 3
Where you collect future incoming and outgoing payments of your company that are associated with a currency risk ?
A. The approver can be an external (e-mail) user.
B. In Exposure Management 2.0
C. Documents must be in Published status.
D. The approver must be a user in the system.
Answer: B

NEW QUESTION: 4
When using a RADIUS server to obtain subscriber parameters and a DHCP mechanism to obtain IP addresses, which DHCP message triggers a RADIUS request?
A. DHCP Offer
B. DHCP Request
C. DHCPAck
D. DHCP Renew
E. DHCP Discover
Answer: E