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NEW QUESTION: 1
What is the term that is used for the label that an LSR assigns and distributes to other LSRs in MPLS?
A. Aggregate
B. Explicit Null
C. Explicit
D. Remote
E. Local
Answer: E
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
A raw data file is listed below:
----|----10---|----20---|----30
1 901 2
1 905 1
1 910 6
1 925 .
1 941 1
The following SAS program is submitted and references the raw data file above:
data coins;
infile 'file-specification';
input year quantity;
< insert statement(s) here>
run;
Which one of the following completes the program and produces a non-missing value for the variable TOTQUANTITY in the last observation of the output data set?
A. totquantity 0;
sum totquantity;
B. totquantity = sum(totquantity + quantity);
C. retain totquantity 0;
totquantity = totquantity + quantity;
D. totquantity + quantity;
Answer: D
NEW QUESTION: 3
A. Option B
B. Option C
C. Option D
D. Option A
Answer: B
Explanation:
Both Fixlets and Tasks might have a Default Action, allowing you to simply click from the list to deploy it. They can both be grouped into Baselines, allowing higher levels of automation. If you create a Baseline of Fixlets or Tasks which all contain default Actions,
you can turn the tedious chores of maintaining a corporate policy or common operating environmentinto a single-click operation. Reference:http://pic.dhe.ibm.com/infocenter/tivihelp/v26r1/index.jsp?topic=%2Fcom.ibm.te m.doc_8.2%2FPlatform%2FConsole%2Fc_introducing_fixlets_and_tasks.html
NEW QUESTION: 4
You plan to perform batch processing in Azure Databricks once daily.
Which type of Databricks cluster should you use?
A. High Concurrency
B. job
C. interactive
Answer: B
Explanation:
Explanation
Example: Scheduled batch workloads (data engineers running ETL jobs)
This scenario involves running batch job JARs and notebooks on a regular cadence through the Databricks platform.
The suggested best practice is to launch a new cluster for each run of critical jobs. This helps avoid any issues (failures, missing SLA, and so on) due to an existing workload (noisy neighbor) on a shared cluster.
Note: Azure Databricks has two types of clusters: interactive and automated. You use interactive clusters to analyze data collaboratively with interactive notebooks. You use automated clusters to run fast and robust automated jobs.
References:
https://docs.databricks.com/administration-guide/cloud-configurations/aws/cmbp.html#scenario-3-scheduledbatc
