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NEW QUESTION: 1
You have historical data covering the last three years in BigQuery and a data pipeline that delivers new data to BigQuery daily. You have noticed that when the Data Science team runs a query filtered on a date column and limited to 30-90 days of data, the query scans the entire table. You also noticed that your bill is increasing more quickly than you expected. You want to resolve the issue as cost-effectively as possible while maintaining the ability to conduct SQL queries. What should you do?
A. Recommend that the Data Science team export the table to a CSV file on Cloud Storage and use Cloud Datalab to explore the data by reading the files directly.
B. Re-create the tables using DDL. Partition the tables by a column containing a TIMESTAMP or DATE Type.
C. Write an Apache Beam pipeline that creates a BigQuery table per day. Recommend that the Data Science team use wildcards on the table name suffixes to select the data they need.
D. Modify your pipeline to maintain the last 30-90 days of data in one table and the longer history in a different table to minimize full table scans over the entire history.
Answer: D

NEW QUESTION: 2
What ability does marking a custom property as "optimized" provide?
A. Allows you to use the custom property in a rule test
B. Allows you to process events above your license rating
C. Allows for offenses, events & flows to be compared directly in real time
D. Allows offenses to merge both events & flows into the same offense
Answer: C

NEW QUESTION: 3
Which three condition types can be monitored by crypto conditional debug? (Choose three.)
A. Peer hostname
B. IPsec
C. SSL
D. ISAKMP
E. Connection ID
F. Flow ID
Answer: A,E,F
Explanation:
Supported Condition Types The new crypto conditional debug CLIs--debug crypto condition, debug crypto condition unmatched, and show crypto debug-condition--allow you to specify conditions (filter values) in which to generate and display debug messages related only to the specified conditions. The table below lists the supported condition types.
Table 1 Supported Condition Types for Crypto Debug CLI Condition Type (Keyword) Description
connid 1 An integer between 1-32766. Relevant debug messages will be shown if the current IPSec operation uses this value as the connection ID to interface with the crypto engine. flowid 1 An integer between 1-32766. Relevant debug messages will be shown if the current IPSec operation uses this value as the flow-ID to interface with the crypto engine. FVRF The name string of a virtual private network (VPN) routing and forwarding (VRF) instance. Relevant debug messages will be shown if the current IPSec operation uses this VRF instance as its front-door VRF (FVRF). IVRF The name string of a VRF instance. Relevant debug messages will be shown if the current IPSec operation uses this VRF instance as its inside VRF (IVRF). peer group A Unity group-name string. Relevant debug messages will be shown if the peer is using this group name as its identity. peer hostname A fully qualified domain name (FQDN) string. Relevant debug messages will be shown if the peer is using this string as its identity; for example, if the peer is enabling IKE Xauth with this FQDN string.
peeripaddress
A single IP address. Relevant debug messages will be shown if the current IPSec operation is related to the IP address of this peer.
peer subnet
A subnet and a subnet mask that specify a range of peer IP addresses. Relevant debug messages will be shown if the IP address of the current IPSec peer falls into the specified subnet range. peer username A username string. Relevant debug messages will be shown if the peer is using this username as its identity; for example, if the peer is enabling IKE Extended Authentication (Xauth) with this username. SPI 1 A 32-bit unsigned integer. Relevant debug messages will be shown if the current IPSec operation uses this value as the SPI.
ReferencE. http://www.cisco.com/c/en/us/td/docs/ios-xml/ios/sec_conn_vpnips/configuration/xe3s/sec-sec-for-vpns-w-ipsec-xe-3s-book/sec-crypto-debug-sup.html